├── .idea ├── .gitignore ├── DiffTransfer.iml ├── inspectionProfiles │ ├── Project_Default.xml │ └── profiles_settings.xml ├── misc.xml ├── modules.xml └── vcs.xml ├── DiffTransfer.py ├── LICENSE ├── README.md ├── audio_utils.py ├── compute_eval_tracks_mixture.py ├── compute_eval_tracks_separate.py ├── compute_frechet.py ├── compute_jaccard.py ├── compute_listening_test_results.py ├── docs ├── _config.yml ├── audio │ ├── est_diffusion │ │ ├── mixture_model │ │ │ ├── 001.0.wav │ │ │ ├── 001.3.wav │ │ │ ├── 002.0.wav │ │ │ ├── 002.3.wav │ │ │ ├── 003.0.wav │ │ │ ├── 003.3.wav │ │ │ ├── 004.0.wav │ │ │ ├── 004.3.wav │ │ │ ├── 005.0.wav │ │ │ ├── 005.3.wav │ │ │ ├── 006.0.wav │ │ │ ├── 006.3.wav │ │ │ ├── 007.0.wav │ │ │ ├── 007.3.wav │ │ │ ├── 008.0.wav │ │ │ ├── 008.3.wav │ │ │ ├── 009.0.wav │ │ │ ├── 009.3.wav │ │ │ ├── 010.0.wav │ │ │ └── 010.3.wav │ │ ├── separate_model │ │ │ ├── 001.0.wav │ │ │ ├── 001.3.wav │ │ │ ├── 002.0.wav │ │ │ ├── 002.3.wav │ │ │ ├── 003.0.wav │ │ │ ├── 003.3.wav │ │ │ ├── 004.0.wav │ │ │ ├── 004.3.wav │ │ │ ├── 005.0.wav │ │ │ ├── 005.3.wav │ │ │ ├── 006.0.wav │ │ │ ├── 006.3.wav │ │ │ ├── 007.0.wav │ │ │ ├── 007.3.wav │ │ │ ├── 008.0.wav │ │ │ ├── 008.3.wav │ │ │ ├── 009.0.wav │ │ │ ├── 009.3.wav │ │ │ ├── 010.0.wav │ │ │ └── 010.3.wav │ │ └── separate_model_individual_tracks │ │ │ ├── 001.1.wav │ │ │ ├── 001.2.wav │ │ │ ├── 001.4.wav │ │ │ ├── 001.5.wav │ │ │ ├── 002.1.wav │ │ │ ├── 002.2.wav │ │ │ ├── 002.4.wav │ │ │ ├── 002.5.wav │ │ │ ├── 003.1.wav │ │ │ ├── 003.2.wav │ │ │ ├── 003.4.wav │ │ │ ├── 003.5.wav │ │ │ ├── 004.1.wav │ │ │ ├── 004.2.wav │ │ │ ├── 004.4.wav │ │ │ ├── 004.5.wav │ │ │ ├── 005.1.wav │ │ │ ├── 005.2.wav │ │ │ ├── 005.4.wav │ │ │ ├── 005.5.wav │ │ │ ├── 006.1.wav │ │ │ ├── 006.2.wav │ │ │ ├── 006.4.wav │ │ │ ├── 006.5.wav │ │ │ ├── 007.1.wav │ │ │ ├── 007.2.wav │ │ │ ├── 007.4.wav │ │ │ ├── 007.5.wav │ │ │ ├── 008.1.wav │ │ │ ├── 008.2.wav │ │ │ ├── 008.4.wav │ │ │ ├── 008.5.wav │ │ │ ├── 009.1.wav │ │ │ ├── 009.2.wav │ │ │ ├── 009.4.wav │ │ │ ├── 009.5.wav │ │ │ ├── 010.1.wav │ │ │ ├── 010.2.wav │ │ │ ├── 010.4.wav │ │ │ └── 010.5.wav │ ├── est_music_net │ │ ├── mixture_model │ │ │ ├── 001.0.wav │ │ │ ├── 001.3.wav │ │ │ ├── 002.0.wav │ │ │ ├── 002.3.wav │ │ │ ├── 003.0.wav │ │ │ ├── 003.3.wav │ │ │ ├── 004.0.wav │ │ │ ├── 004.3.wav │ │ │ ├── 005.0.wav │ │ │ ├── 005.3.wav │ │ │ ├── 006.0.wav │ │ │ ├── 006.3.wav │ │ │ ├── 007.0.wav │ │ │ ├── 007.3.wav │ │ │ ├── 008.0.wav │ │ │ ├── 008.3.wav │ │ │ ├── 009.0.wav │ │ │ ├── 009.3.wav │ │ │ ├── 010.0.wav │ │ │ └── 010.3.wav │ │ ├── separate_model │ │ │ ├── 001.0.wav │ │ │ ├── 001.3.wav │ │ │ ├── 002.0.wav │ │ │ ├── 002.3.wav │ │ │ ├── 003.0.wav │ │ │ ├── 003.3.wav │ │ │ ├── 004.0.wav │ │ │ ├── 004.3.wav │ │ │ ├── 005.0.wav │ │ │ ├── 005.3.wav │ │ │ ├── 006.0.wav │ │ │ ├── 006.3.wav │ │ │ ├── 007.0.wav │ │ │ ├── 007.3.wav │ │ │ ├── 008.0.wav │ │ │ ├── 008.3.wav │ │ │ ├── 009.0.wav │ │ │ ├── 009.3.wav │ │ │ ├── 010.0.wav │ │ │ └── 010.3.wav │ │ └── separate_model_individual_tracks │ │ │ ├── 001.1.wav │ │ │ ├── 001.2.wav │ │ │ ├── 001.4.wav │ │ │ ├── 001.5.wav │ │ │ ├── 002.1.wav │ │ │ ├── 002.2.wav │ │ │ ├── 002.4.wav │ │ │ ├── 002.5.wav │ │ │ ├── 003.1.wav │ │ │ ├── 003.2.wav │ │ │ ├── 003.4.wav │ │ │ ├── 003.5.wav │ │ │ ├── 004.1.wav │ │ │ ├── 004.2.wav │ │ │ ├── 004.4.wav │ │ │ ├── 004.5.wav │ │ │ ├── 005.1.wav │ │ │ ├── 005.2.wav │ │ │ ├── 005.4.wav │ │ │ ├── 005.5.wav │ │ │ ├── 006.1.wav │ │ │ ├── 006.2.wav │ │ │ ├── 006.4.wav │ │ │ ├── 006.5.wav │ │ │ ├── 007.1.wav │ │ │ ├── 007.2.wav │ │ │ ├── 007.4.wav │ │ │ ├── 007.5.wav │ │ │ ├── 008.1.wav │ │ │ ├── 008.2.wav │ │ │ ├── 008.4.wav │ │ │ ├── 008.5.wav │ │ │ ├── 009.1.wav │ │ │ ├── 009.2.wav │ │ │ ├── 009.4.wav │ │ │ ├── 009.5.wav │ │ │ ├── 010.1.wav │ │ │ ├── 010.2.wav │ │ │ ├── 010.4.wav │ │ │ └── 010.5.wav │ └── music_star_test │ │ ├── 001.0.wav │ │ ├── 001.1.wav │ │ ├── 001.2.wav │ │ ├── 001.3.wav │ │ ├── 001.4.wav │ │ ├── 001.5.wav │ │ ├── 002.0.wav │ │ ├── 002.1.wav │ │ ├── 002.2.wav │ │ ├── 002.3.wav │ │ ├── 002.4.wav │ │ ├── 002.5.wav │ │ ├── 002.6.wav │ │ ├── 002.7.wav │ │ ├── 003.0.wav │ │ ├── 003.1.wav │ │ ├── 003.2.wav │ │ ├── 003.3.wav │ │ ├── 003.4.wav │ │ ├── 003.5.wav │ │ ├── 004.0.wav │ │ ├── 004.1.wav │ │ ├── 004.2.wav │ │ ├── 004.3.wav │ │ ├── 004.4.wav │ │ ├── 004.5.wav │ │ ├── 005.0.wav │ │ ├── 005.1.wav │ │ ├── 005.2.wav │ │ ├── 005.3.wav │ │ ├── 005.4.wav │ │ ├── 005.5.wav │ │ ├── 006.0.wav │ │ ├── 006.1.wav │ │ ├── 006.2.wav │ │ ├── 006.3.wav │ │ ├── 006.4.wav │ │ ├── 006.5.wav │ │ ├── 007.0.wav │ │ ├── 007.1.wav │ │ ├── 007.2.wav │ │ ├── 007.3.wav │ │ ├── 007.4.wav │ │ ├── 007.5.wav │ │ ├── 008.0.wav │ │ ├── 008.1.wav │ │ ├── 008.2.wav │ │ ├── 008.3.wav │ │ ├── 008.4.wav │ │ ├── 008.5.wav │ │ ├── 009.0.wav │ │ ├── 009.1.wav │ │ ├── 009.2.wav │ │ ├── 009.3.wav │ │ ├── 009.4.wav │ │ ├── 009.5.wav │ │ ├── 010.0.wav │ │ ├── 010.1.wav │ │ ├── 010.2.wav │ │ ├── 010.3.wav │ │ ├── 010.4.wav │ │ └── 010.5.wav └── index.md ├── eval └── listening_test_results.csv ├── network_lib_attention.py ├── params.py └── preprocess_tracks_listening_test.py /.idea/.gitignore: -------------------------------------------------------------------------------- 1 | # Default ignored files 2 | /shelf/ 3 | /workspace.xml 4 | # Editor-based HTTP Client requests 5 | /httpRequests/ 6 | # Datasource local storage ignored files 7 | /dataSources/ 8 | /dataSources.local.xml 9 | -------------------------------------------------------------------------------- /.idea/DiffTransfer.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /.idea/inspectionProfiles/Project_Default.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 38 | -------------------------------------------------------------------------------- /.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | -------------------------------------------------------------------------------- /.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | -------------------------------------------------------------------------------- /.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /.idea/vcs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /DiffTransfer.py: -------------------------------------------------------------------------------- 1 | import os 2 | import tqdm 3 | os.environ['CUDA_VISIBLE_DEVICES']="2" 4 | import network_lib_attention as network_lib 5 | import tensorflow as tf 6 | import tensorflow_hub as hub 7 | import tensorflow_io as tfio 8 | import datetime 9 | import os 10 | import numpy as np 11 | import argparse 12 | import params 13 | import audio_utils 14 | from tensorflow import keras 15 | tf.config.list_physical_devices('GPU') 16 | # SoundStream Spectrogram Inverter (Stuff stolen from https://storage.googleapis.com/music-synthesis-with-spectrogram-diffusion/index.html) and https://tfhub.dev/google/soundstream/mel/decoder/music/1 17 | module = hub.KerasLayer('https://tfhub.dev/google/soundstream/mel/decoder/music/1') 18 | # STARNET DATASET --> https://zenodo.org/record/6917099#.ZBiIEuzMI-Q 19 | os.listdir('/nas/public/dataset/maestro/maestro-v3.0.0') 20 | pre_load = False 21 | 22 | do_norm = True 23 | 24 | def preprocess_dataset(audio_paths): 25 | #for audio_path in val_tracks_paths: 26 | # print(audio_path) 27 | 28 | audio_res1 = audio_utils.read_audio(audio_paths[0]) 29 | audio_res2 = audio_utils.read_audio(audio_paths[1]) 30 | if do_norm: 31 | audio_res1,_,_ = audio_utils.norm_tensor(audio_res1) 32 | audio_res2,_,_ = audio_utils.norm_tensor(audio_res2) 33 | #idx = tf.random.uniform(shape=(), minval=0, maxval=duration_track - duration_sample, dtype=tf.int32) 34 | idx = tf.random.uniform(shape=(), minval=0, maxval=tf.size(audio_res1) - params.duration_sample, dtype=tf.int32) 35 | audio_res1 = audio_res1[idx:idx+params.duration_sample] 36 | audio_res2 = audio_res2[idx:idx+params.duration_sample] 37 | 38 | 39 | audio_res1 = tf.expand_dims(tf.squeeze(audio_res1), axis=0) 40 | audio_res2 = tf.expand_dims(tf.squeeze(audio_res2), axis=0) 41 | 42 | spec1 = audio_utils.calculate_spectrogram(audio_res1) 43 | spec2 = audio_utils.calculate_spectrogram(audio_res2) 44 | 45 | spec1 = tf.expand_dims(tf.squeeze(spec1),axis=-1) 46 | spec1 = tf.reshape(spec1,shape=(params.mel_spec_size[0],params.mel_spec_size[1],1)) 47 | 48 | spec2 = tf.expand_dims(tf.squeeze(spec2),axis=-1) 49 | spec2 = tf.reshape(spec2,shape=(params.mel_spec_size[0],params.mel_spec_size[1],1)) 50 | 51 | 52 | if network_lib.do_norm_specs: 53 | spec1,_,_ = audio_utils.norm_tensor(spec1) 54 | spec2,_,_ = audio_utils.norm_tensor(spec2) 55 | 56 | return tf.concat([spec1,spec2],axis=-1) 57 | 58 | def prepare_dataset(paths, training=True): 59 | files_ds = tf.data.Dataset.from_tensor_slices(paths) 60 | if training: 61 | features_ds = files_ds.map(preprocess_dataset).repeat(2).batch(params.batch_size,drop_remainder=True).prefetch(buffer_size=tf.data.AUTOTUNE) 62 | else: 63 | features_ds = files_ds.map(preprocess_dataset).cache().repeat(4).batch(params.batch_size,drop_remainder=True).prefetch(buffer_size=tf.data.AUTOTUNE) 64 | return features_ds 65 | 66 | def main(): 67 | parser = argparse.ArgumentParser(description='Train log-mel-to-mask network') 68 | parser.add_argument('--dataset_train_path', type=str, help='Folder containing Train/val Dataset audio', 69 | default='dataset/starnet/starnet_reduced') 70 | parser.add_argument('--desired_instrument', type=str, help='Desired Output Timbre', 71 | default='strings') 72 | parser.add_argument('--conditioning_instrument', type=str, help='Desired Conditioning Timbre', 73 | default='clarinet') 74 | parser.add_argument('--GPU', type=str, help='Select GPU number', 75 | default='0') 76 | parser.add_argument('--train', type=str, help='Select GPU number', 77 | default='True') 78 | dict_instruments = {"clarinet":"1","vibraphone":"2","strings":"4","piano":"5",'clarinet_vibraphone':"0",'strings_piano':"3"} 79 | args = parser.parse_args() 80 | desired_instrument = args.desired_instrument 81 | conditioning_instrument = args.conditioning_instrument 82 | dataset_train_path = args.dataset_train_path 83 | train = args.train 84 | print('Timbre transfering from '+conditioning_instrument+' to'+desired_instrument) 85 | 86 | # Handle Paths 87 | instruments_name = [dict_instruments[desired_instrument],dict_instruments[conditioning_instrument]] 88 | 89 | checkpoint_path = "checkpoints/ATT_STARNET_NORM_diffusion_model_timbre_transfer_"+conditioning_instrument+'_to_'+desired_instrument+'_'+ datetime.datetime.now().strftime( 90 | "%Y%m%d-%H%M%S") 91 | tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir="./logs/ATT_STARNET_"+conditioning_instrument+'_to_'+desired_instrument+datetime.datetime.now().strftime( 92 | "%Y%m%d-%H%M%S")) 93 | 94 | log_dir = 'logs/' 95 | logdir = log_dir + 'ATT_STARNET_NORM_diffusion_timbre_transfer_' + datetime.datetime.now().strftime( 96 | "%Y%m%d-%H%M%S") + '5000__'+conditioning_instrument+'_to_'+desired_instrument 97 | 98 | # Each instrument is the same since track names are duplicatedk 99 | 100 | tracks_full = os.listdir(dataset_train_path) 101 | cond_tracks = [track for track in tracks_full if track.split('.')[-2]==instruments_name[1]] 102 | trgt_tracks = [track for track in tracks_full if track.split('.')[-2]==instruments_name[0]] 103 | cond_tracks.sort() 104 | trgt_tracks.sort() 105 | track_paths_trans = [[os.path.join(dataset_train_path,trgt_tracks[i]),os.path.join(dataset_train_path,cond_tracks[i])] for i in range(len(cond_tracks))] 106 | 107 | 108 | val_perc = 0.2 109 | n_tracks_train = len(track_paths_trans) - int(np.floor(val_perc * len(track_paths_trans))) 110 | rng = np.random.default_rng(12345) 111 | idxs = rng.choice(len(track_paths_trans), len(track_paths_trans), False) 112 | idxs_train = idxs[:n_tracks_train] 113 | idxs_val = idxs[n_tracks_train:] 114 | 115 | train_tracks_paths = np.array(track_paths_trans)[idxs_train].tolist() 116 | val_tracks_paths = np.array(track_paths_trans)[idxs_val].tolist() 117 | 118 | train_dataset = prepare_dataset(train_tracks_paths) 119 | val_dataset = prepare_dataset(val_tracks_paths, training=False) 120 | 121 | 122 | # create and compile the model 123 | first = True 124 | for a in val_dataset.take(2): 125 | if first: 126 | val_data = a 127 | first = False 128 | else: 129 | val_data = tf.concat([val_data, a],axis=0) 130 | val_data = a[:18] 131 | print(val_data.shape) 132 | model = network_lib.DiffusionModel(params.mel_spec_size, params.widths, params.block_depth, val_data, params.has_attention, logdir=logdir,batch_size=params.batch_size,) 133 | model.network.summary() 134 | 135 | if train: 136 | model.compile( 137 | optimizer=keras.optimizers.experimental.AdamW( 138 | learning_rate=params.learning_rate, weight_decay=params.weight_decay 139 | ), 140 | loss=keras.losses.mean_absolute_error, 141 | ) 142 | 143 | # save the best model based on the validation KID metric 144 | 145 | checkpoint_callback = tf.keras.callbacks.ModelCheckpoint( 146 | filepath=checkpoint_path, 147 | save_weights_only=True, 148 | monitor="val_n_loss", 149 | mode="min", 150 | save_best_only=True, 151 | ) 152 | 153 | # calculate mean and variance of training dataset for normalization 154 | model.fit( 155 | train_dataset, 156 | epochs=5000, 157 | validation_data=val_dataset, 158 | callbacks=[ 159 | keras.callbacks.LambdaCallback(on_epoch_end=model.plot_images), 160 | checkpoint_callback, 161 | tensorboard_callback, 162 | ], 163 | ) 164 | 165 | if __name__=='__main__': 166 | main() 167 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Luca Comanducci 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DiffTransfer 2 | 3 | ## TIMBRE TRANSFER USING IMAGE-TO-IMAGE DENOISING DIFFUSION IMPLICIT MODELS 4 | 5 | 6 | Accompanying code to the paper _Timbre transfer using image-to-image denoising diffusion implicit models_ 7 | [[1]](#references). 8 | 9 | For any question, please write at [luca.comanducci@polimi.it](mailto:luca.comanducci@polimi.it). 10 | 11 | 12 | 13 | - [Dependencies](#dependencies) 14 | - [Data Generation](#data-generation) 15 | - [Network Training](#network-training) 16 | - [Results Computation](#results-computation) 17 | 18 | ### Dependencies 19 | Tensorflow (>2.11), librosa, pretty_midi, os, numpy, [essentia](https://pypi.org/project/essentia/), [frechet_audio_distance](https://pypi.org/project/frechet-audio-distance/) 20 | 21 | ### Data generation 22 | The model is trained using the StarNet dataset, freely available on Zenodo [link](https://zenodo.org/records/6917099) 23 | 24 | ### Network training 25 | - audio_utils.py --> contains shared audio utilities and functions 26 | - params.py --> Contains parameters shared along scripts 27 | - network_lib_attention.py --> Contains Denoising Diffusion Implicit Model Implementation 28 | - DiffTransfer.py --> Actually runs the training, takes the following arguments: 29 | - dataset_train_path: String, path to training data 30 | - desired_instrument: String, name of desired output instrument 31 | - conditioning_instrument: String, name of input instrument 32 | - GPU: number of GPU, in case you have multiple ones 33 | 34 | ### Results computation 35 | 36 | - compute_eval_tracks_mixture.py 37 | - compute_eval_tracks_separate.py 38 | - compute_frechet.py 39 | - compute_jaccard.py 40 | - compute_listening_test_results.py 41 | - preprocess_tracks_listening_test.py 42 | 43 | If using this code please cite the following paper 44 | 45 | @inproceedings{comanducci2023timbre, 46 | author = {Luca Comanducci and 47 | Fabio Antonacci and 48 | Augusto Sarti}, 49 | title = {Timbre Transfer Using Image-to-Image Denoising Diffusion Implicit 50 | Models}, 51 | booktitle = {Proceedings of the 24th International Society for Music Information 52 | Retrieval Conference, {ISMIR} 2023, Milan, Italy, November 5-9, 2023}, 53 | pages = {257--263}, 54 | year = {2023}, 55 | } 56 | 57 | 58 | 59 | 60 | # References 61 | >[1] Comanducci, Luca, Fabio Antonacci, and Augusto Sarti. "Timbre transfer using image-to-image denoising diffusion models. _ISMIR International Society for Music Information Retrieval Conference_ [arXiv](https://arxiv.org/pdf/2307.04586.pdf) 62 | 63 | -------------------------------------------------------------------------------- /audio_utils.py: -------------------------------------------------------------------------------- 1 | import os 2 | import tensorflow_io as tfio 3 | #import network_lib 4 | import network_lib_attention as network_lib 5 | import params 6 | import tensorflow as tf 7 | import numpy as np 8 | import matplotlib.pyplot as plt 9 | import tensorflow_hub as hub 10 | 11 | # Soundstream 12 | module = hub.KerasLayer('https://tfhub.dev/google/soundstream/mel/decoder/music/1') 13 | 14 | # Audio Stuff 15 | #SAMPLE_RATE = 16000 16 | #N_FFT = 1024 17 | #HOP_LENGTH = 320 18 | #WIN_LENGTH = 640 # (20 ms) 19 | #N_MEL_CHANNELS = 128 20 | #MEL_FMIN = 0.0 21 | #MEL_FMAX = int(SAMPLE_RATE // 2) 22 | #CLIP_VALUE_MIN = 1e-5 23 | #CLIP_VALUE_MAX = 1e8 24 | #N_IMG_CHANNELS = 1 #3 25 | 26 | MEL_BASIS = tf.signal.linear_to_mel_weight_matrix( 27 | num_mel_bins=params.N_MEL_CHANNELS, 28 | num_spectrogram_bins=params.N_FFT // 2 + 1, 29 | sample_rate=params.SAMPLE_RATE, 30 | lower_edge_hertz=params.MEL_FMIN, 31 | upper_edge_hertz=params.MEL_FMAX) 32 | 33 | def calculate_spectrogram(samples): 34 | """Calculate mel spectrogram using the parameters the model expects.""" 35 | fft = tf.signal.stft( 36 | samples, 37 | frame_length=params.WIN_LENGTH, 38 | frame_step=params.HOP_LENGTH, 39 | fft_length=params.N_FFT, 40 | window_fn=tf.signal.hann_window, 41 | pad_end=True) 42 | fft_modulus = tf.abs(fft) 43 | 44 | output = tf.matmul(fft_modulus, MEL_BASIS) 45 | 46 | output = tf.clip_by_value( 47 | output, 48 | clip_value_min=params.CLIP_VALUE_MIN, 49 | clip_value_max=params.CLIP_VALUE_MAX) 50 | output = tf.math.log(output) 51 | return output 52 | 53 | # data 54 | dataset_repetitions = 5 55 | num_epochs = 1 # train for at least 50 epochs for good results 56 | image_size = (128,128) 57 | # KID = Kernel Inception Distance, see related section 58 | kid_image_size = 75 59 | kid_diffusion_steps = 10 60 | plot_diffusion_steps = 20 61 | 62 | # sampling 63 | min_signal_rate = 0.02 64 | max_signal_rate = 0.95 65 | 66 | # architecture 67 | embedding_dims = 32 68 | embedding_max_frequency = 1000.0 69 | widths = [32, 64, 96, 128] 70 | block_depth = 2 71 | 72 | # optimization 73 | batch_size = 64 74 | 75 | widths = [64, 128, 256, 512] 76 | block_depth = 4 77 | batch_size=16 78 | 79 | ema = 0.999 80 | learning_rate = 1e-3 81 | weight_decay = 1e-4 82 | 83 | 84 | # Handle Paths 85 | dataset_train_path = 'dataset/dataset_timbre_transfer/train' 86 | instruments_name = ['violin','saxophone'] 87 | checkpoint_path = "checkpoints/diffusion_model_timbre_transfer_saxophone_to_violin_20230305-150304" 88 | 89 | checkpoint_path = "checkpoints/diffusion_model_timbre_transfer_saxophone_to_violin_20230309-170705" 90 | 91 | 92 | 93 | # Each instrument is the same since track names are duplicated 94 | track_names = os.listdir(os.path.join(dataset_train_path,instruments_name[0])) 95 | track_names.sort() 96 | # Let's do violin to saxophone 97 | track_paths_trans = [[os.path.join(dataset_train_path,instruments_name[0],track_name),os.path.join(dataset_train_path,instruments_name[1],track_name)] for track_name in track_names] 98 | 99 | 100 | val_perc = 0.2 101 | n_tracks_train = len(track_paths_trans) - int(np.floor(val_perc*len(track_paths_trans))) 102 | train_tracks_paths = track_paths_trans[:n_tracks_train] 103 | val_tracks_paths = track_paths_trans[n_tracks_train:] 104 | 105 | #train_tracks_paths, val_tracks_paths = train_tracks_paths[:64], val_tracks_paths[:64], 106 | #audio_path = train_tracks_paths[200] 107 | duration_sample = 40960 108 | duration_track = 480000 109 | 110 | def normalize_audio(audio): 111 | audio = audio - audio.min() 112 | audio = audio/audio.max() 113 | audio = (audio*2)-1 114 | return audio 115 | 116 | 117 | def read_audio(audio_path,resample=True, SAMPLE_RATE=params.SAMPLE_RATE): 118 | audio_bin = tf.io.read_file(audio_path) 119 | audio, sample_rate = tf.audio.decode_wav(audio_bin) 120 | if resample: 121 | audio = tfio.audio.resample(audio, rate_in=tf.cast(sample_rate,tf.int64), rate_out=SAMPLE_RATE, name=None) 122 | return audio 123 | 124 | 125 | def norm_tensor(audio): 126 | min_val = tf.math.reduce_min(audio) 127 | audio = audio - min_val 128 | max_val = tf.math.reduce_max(audio) 129 | audio_norm = ((audio/max_val)*2)-1 130 | return audio_norm, max_val, min_val 131 | 132 | def denorm_tensor(audio,max_val,min_val): 133 | return (((audio +1)/2)*max_val + min_val) 134 | 135 | def get_audio_track_diff(cond_track_path, diff_steps=20): 136 | cond_track = read_audio(cond_track_path) 137 | # Remove audio Channel and add Batch Dimension 138 | cond_track = tf.expand_dims(cond_track[:,0],axis=0) 139 | do_norm = True 140 | if do_norm: 141 | cond_track,_,_ = norm_tensor(cond_track) 142 | 143 | # Compute mel spectrogram 144 | cond_track_spec = calculate_spectrogram(cond_track) 145 | 146 | # Frames given as input to diff model 147 | N_frames_diff = 128 148 | 149 | # Number of full frames contained in the considered track 150 | N_frames_full = cond_track_spec.shape[1]//N_frames_diff 151 | N_frames_gt = cond_track_spec.shape[1] 152 | # Split the cond track in frame sizes suitable to diff model 153 | if N_frames_full*N_frames_diff < cond_track_spec.shape[1]: 154 | cond_track_input_diff = np.zeros((N_frames_full+1,N_frames_diff,params.N_MEL_CHANNELS),dtype=np.float32) 155 | for i in range(N_frames_full): 156 | cond_track_input_diff[i] = cond_track_spec[0,(i*N_frames_diff):(i*N_frames_diff)+N_frames_diff] 157 | N_remaining_frames = len(cond_track_spec[0, (i * N_frames_diff) + N_frames_diff:]) 158 | cond_track_input_diff[i+1,:N_remaining_frames] = cond_track_spec[0, (i * N_frames_diff) + N_frames_diff:] 159 | else: 160 | cond_track_input_diff = np.zeros(N_frames_full,N_frames_diff,N_MEL_CHANNELS,1) 161 | for i in range(N_frames_full): 162 | cond_track_input_diff[i] = cond_track_spec[0,(i*N_frames_diff):(i*N_frames_diff)+N_frames_diff] 163 | 164 | 165 | # Now let's apply the diffusion model 166 | model = network_lib.DiffusionModel(image_size, widths, block_depth,val_data=None,batch_size=batch_size) 167 | model.load_weights(checkpoint_path) 168 | N = cond_track_input_diff.shape[0] 169 | 170 | est_spec = model.generate( 171 | cond_images=tf.expand_dims(cond_track_input_diff, axis=-1), 172 | num_images=N, 173 | diffusion_steps=diff_steps, 174 | ) 175 | 176 | est_spec_shift = tf.expand_dims(tf.zeros_like(cond_track_input_diff), axis=-1).numpy() 177 | N_slices = est_spec_shift.shape[0] 178 | for i in range(N_slices - 1): 179 | # Curr + shifted slice 180 | cond_shift = tf.expand_dims( 181 | tf.expand_dims(tf.concat([cond_track_input_diff[i][64:], cond_track_input_diff[i + 1][:64]], axis=0), 182 | axis=0), axis=-1) 183 | est_spec_shift[i] = model.generate(cond_images=cond_shift, num_images=1, diffusion_steps=diff_steps) 184 | 185 | est_spec_smooth = est_spec.numpy() 186 | for i in range(est_spec.numpy().shape[0] - 1): 187 | est_spec_smooth[i, 96:] = est_spec_shift[i, 32:64] 188 | est_spec_smooth[i + 1, :32] = est_spec_shift[i, 64:96] 189 | 190 | est_spec = tf.reshape(est_spec_smooth,(N*128,128)).numpy()[:N_frames_gt] 191 | cond_track_input_diff = tf.reshape(cond_track_input_diff,(N*128,128)).numpy()[:N_frames_gt] 192 | 193 | est_audio = module(tf.expand_dims(est_spec,axis=0)).numpy() 194 | cond_audio = module(tf.expand_dims(cond_track_input_diff,axis=0)).numpy() 195 | 196 | return est_audio, cond_audio 197 | 198 | 199 | 200 | def get_audio_track_diff_norm(cond_track_path, checkpoint_path, model, diff_steps=20): 201 | cond_track = read_audio(cond_track_path) 202 | # Remove audio Channel and add Batch Dimension 203 | cond_track = tf.expand_dims(cond_track[:, 0], axis=0) 204 | do_norm = True 205 | if do_norm: 206 | cond_track, _, _ = norm_tensor(cond_track) 207 | 208 | # Compute mel spectrogram 209 | cond_track_spec = calculate_spectrogram(cond_track) 210 | 211 | # Frames given as input to diff model 212 | N_frames_diff = 128 213 | 214 | # Number of full frames contained in the considered track 215 | N_frames_full = cond_track_spec.shape[1] // N_frames_diff 216 | N_frames_gt = cond_track_spec.shape[1] 217 | # Split the cond track in frame sizes suitable to diff model 218 | if N_frames_full * N_frames_diff < cond_track_spec.shape[1]: 219 | cond_track_input_diff = np.zeros((N_frames_full + 1, N_frames_diff, params.N_MEL_CHANNELS), dtype=np.float32) 220 | for i in range(N_frames_full): 221 | cond_track_input_diff[i] = cond_track_spec[0, (i * N_frames_diff):(i * N_frames_diff) + N_frames_diff] 222 | N_remaining_frames = len(cond_track_spec[0, (i * N_frames_diff) + N_frames_diff:]) 223 | cond_track_input_diff[i + 1, :N_remaining_frames] = cond_track_spec[0, (i * N_frames_diff) + N_frames_diff:] 224 | else: 225 | cond_track_input_diff = np.zeros(N_frames_full, N_frames_diff, params.N_MEL_CHANNELS, 1) 226 | for i in range(N_frames_full): 227 | cond_track_input_diff[i] = cond_track_spec[0, (i * N_frames_diff):(i * N_frames_diff) + N_frames_diff] 228 | 229 | # Now let's apply the diffusion model 230 | # model = network_lib.DiffusionModel(image_size, widths, block_depth,val_data=None,batch_size=batch_size) 231 | model.load_weights(checkpoint_path) 232 | N = cond_track_input_diff.shape[0] 233 | 234 | # Compute norm of cond ttrack 235 | cond_track_spec_reshaped_norm = np.zeros_like(cond_track_input_diff) 236 | max_val, min_val = np.zeros(N), np.zeros(N) 237 | for i in range(cond_track_input_diff.shape[0]): 238 | cond_track_spec_reshaped_norm[i], max_val[i], min_val[i] = norm_tensor(cond_track_input_diff[i]) 239 | # print(str(max_val[i]) + ' ' + str(min_val[i])) 240 | 241 | cond_track_spec_reshaped_norm, max_val, min_val = norm_tensor(cond_track_input_diff) 242 | 243 | est_spec_norm = model.generate_fixed_noise( 244 | cond_images=tf.expand_dims(cond_track_spec_reshaped_norm, axis=-1), 245 | num_images=N, 246 | diffusion_steps=diff_steps, 247 | ) 248 | # est_spec = denorm_tensor(est_spec_norm,np.mean(max_val),np.mean(min_val)) 249 | est_spec = denorm_tensor(est_spec_norm, max_val, min_val) 250 | 251 | est_spec = est_spec.numpy() 252 | 253 | est_spec = tf.reshape(est_spec, (N * 128, 128)).numpy()[:N_frames_gt] 254 | cond_track_input_diff = tf.reshape(cond_track_input_diff, (N * 128, 128)).numpy()[:N_frames_gt] 255 | 256 | est_audio = module(tf.expand_dims(est_spec, axis=0)).numpy() 257 | cond_audio = module(tf.expand_dims(cond_track_input_diff, axis=0)).numpy() 258 | 259 | return est_audio, cond_audio, cond_track_input_diff, est_spec 260 | -------------------------------------------------------------------------------- /compute_eval_tracks_mixture.py: -------------------------------------------------------------------------------- 1 | import os 2 | os.environ['CUDA_VISIBLE_DEVICES']="5" 3 | os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' 4 | import network_lib_attention as network_lib 5 | import matplotlib.pyplot as plt 6 | import argparse 7 | import tensorflow as tf 8 | import tensorflow_hub as hub 9 | import tqdm 10 | import params 11 | import audio_utils 12 | import numpy as np 13 | from IPython.display import Audio 14 | module = hub.KerasLayer('https://tfhub.dev/google/soundstream/mel/decoder/music/1') 15 | 16 | val_data = None # Param needed to load models 17 | test_dataset_path = 'dataset/music_star_test' 18 | 19 | test_dataset_dict = {"001" :"Pirates of the Caribbean Theme", 20 | "002" :"My Heart Will Go on", 21 | "003" :"Beethoven's String", 22 | "004" :"Moonlight Sonata", 23 | "005" :"Fur Elise", 24 | "006" :"Brahms's Clarinet", 25 | "007" :"Beethoven's Piano", 26 | "008" :"Dvorak's String", 27 | "009" :"Romeo and Juliet", 28 | "010":"Nuvole Blanche", 29 | } 30 | N_tracks = len(test_dataset_dict) 31 | est_folder = 'eval/est_diffusion' 32 | 33 | def main(): 34 | parser = argparse.ArgumentParser(description='Train log-mel-to-mask network') 35 | parser.add_argument('--conversion_type', type=int, help='clarinet/vibraphone_to_strings_piano or viceversa', 36 | default=1) 37 | parser.add_argument('--diff_steps', type=int, help='Number of steps in diffusion', 38 | default=20) 39 | 40 | args = parser.parse_args() 41 | conversion_type = args.conversion_type 42 | diff_steps = args.diff_steps 43 | 44 | if conversion_type == 0: 45 | print('Convert clarinet/vibraphone to violin/piano') 46 | if conversion_type == 1: 47 | print('Convert strings/piano to clarinet/vibraphone ') 48 | 49 | # Select correct checkpoint 50 | if conversion_type == 0: 51 | print('Convert clarinet/vibraphone to violin/piano') 52 | checkpoint_path = "checkpoints/ATT_STARNET_NORM_diffusion_model_timbre_transfer_clarinet_vibraphone_to_strings_piano_20230327-103551" 53 | 54 | if conversion_type == 1: 55 | print('Convert strings/piano to clarinet/vibraphone ') 56 | checkpoint_path = "checkpoints/ATT_STARNET_NORM_diffusion_model_timbre_transfer_strings_piano_to_clarinet_vibraphone_20230327-103700" 57 | 58 | model = network_lib.DiffusionModel(params.mel_spec_size, params.widths, params.block_depth, val_data, 59 | params.has_attention, logdir='', batch_size=params.batch_size, ) 60 | 61 | 62 | model.load_weights(checkpoint_path) 63 | 64 | 65 | for n_t in tqdm.tqdm(range(N_tracks)): 66 | # Load correct track 67 | idx_key = list(test_dataset_dict.keys())[n_t] 68 | final_folder = 'mixture_model' 69 | 70 | if conversion_type == 0: 71 | track_name = idx_key + '.3.wav' 72 | if conversion_type == 1: 73 | track_name = idx_key + '.0.wav' 74 | track_est_path = os.path.join(est_folder, final_folder, track_name) 75 | print(track_est_path) 76 | 77 | if conversion_type == 0: 78 | gt_track = os.path.join(test_dataset_path, idx_key + '.3.wav') 79 | cond_track = os.path.join(test_dataset_path, idx_key + '.0.wav') 80 | 81 | if conversion_type == 1: 82 | gt_track = os.path.join(test_dataset_path, idx_key + '.0.wav') 83 | cond_track = os.path.join(test_dataset_path, idx_key + '.3.wav') 84 | 85 | est_audio, _, _, _ = audio_utils.get_audio_track_diff_norm( 86 | cond_track_path=cond_track, 87 | checkpoint_path=checkpoint_path, 88 | model=model, 89 | diff_steps=diff_steps) 90 | 91 | # Write Audio 92 | audio_encoded = tf.audio.encode_wav( 93 | tf.transpose(est_audio), params.SAMPLE_RATE, name=None 94 | ) 95 | write_file_op = tf.io.write_file(track_est_path, audio_encoded) 96 | 97 | 98 | if __name__=='__main__': 99 | main() -------------------------------------------------------------------------------- /compute_eval_tracks_separate.py: -------------------------------------------------------------------------------- 1 | import os 2 | os.environ['CUDA_VISIBLE_DEVICES']="5" 3 | os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' 4 | import network_lib_attention as network_lib 5 | import matplotlib.pyplot as plt 6 | import argparse 7 | import tensorflow as tf 8 | import tensorflow_hub as hub 9 | import tqdm 10 | import params 11 | import audio_utils 12 | import numpy as np 13 | from IPython.display import Audio 14 | module = hub.KerasLayer('https://tfhub.dev/google/soundstream/mel/decoder/music/1') 15 | 16 | val_data = None # Param needed to load models 17 | test_dataset_path = 'dataset/music_star_test' 18 | #os.listdir('dataset/music_star_test') 19 | test_dataset_dict = {"001" :"Pirates of the Caribbean Theme", 20 | "002" :"My Heart Will Go on", 21 | "003" :"Beethoven's String", 22 | "004" :"Moonlight Sonata", 23 | "005" :"Fur Elise", 24 | "006" :"Brahms's Clarinet", 25 | "007" :"Beethoven's Piano", 26 | "008" :"Dvorak's String", 27 | "009" :"Romeo and Juliet", 28 | "010":"Nuvole Blanche", 29 | } 30 | N_tracks = len(test_dataset_dict) 31 | est_folder = 'eval/est_diffusion' 32 | 33 | def main(): 34 | parser = argparse.ArgumentParser(description='Compute eval tracks separate networks') 35 | parser.add_argument('--conversion_type', type=int, help='clarinet/vibraphone_to_strings_piano or viceversa', 36 | default=0) 37 | 38 | parser.add_argument('--diff_steps', type=int, help='Number of steps in diffusion', 39 | default=20) 40 | 41 | args = parser.parse_args() 42 | conversion_type = args.conversion_type 43 | diff_steps = args.diff_steps 44 | 45 | if conversion_type == 0: 46 | print('Convert clarinet/vibraphone to violin/piano') 47 | if conversion_type == 1: 48 | print('Convert strings/piano to clarinet/vibraphone ') 49 | 50 | # Select correct checkpoint 51 | if conversion_type == 0: 52 | print('Convert clarinet/vibraphone to violin/piano') 53 | checkpoint_path_a = "checkpoints/ATT_STARNET_NORM_diffusion_model_timbre_transfer_clarinet_to_strings_20230324-171656" 54 | checkpoint_path_b = "checkpoints/ATT_STARNET_NORM_diffusion_model_timbre_transfer_vibraphone_to_piano_20230322-083426" 55 | 56 | if conversion_type == 1: 57 | print('Convert strings/piano to clarinet/vibraphone ') 58 | checkpoint_path_a = "checkpoints/ATT_STARNET_NORM_diffusion_model_timbre_transfer_strings_to_clarinet_20230324-150905" 59 | checkpoint_path_b = "checkpoints/ATT_STARNET_NORM_diffusion_model_timbre_transfer_piano_to_vibraphone_20230325-124114" 60 | 61 | 62 | model_a = network_lib.DiffusionModel(params.mel_spec_size, params.widths, params.block_depth, val_data, 63 | params.has_attention, logdir='', batch_size=params.batch_size, ) 64 | model_a.load_weights(checkpoint_path_a) 65 | model_b = network_lib.DiffusionModel(params.mel_spec_size, params.widths, params.block_depth, val_data, 66 | params.has_attention, logdir='', batch_size=params.batch_size, ) 67 | model_b.load_weights(checkpoint_path_b) 68 | 69 | 70 | for n_t in tqdm.tqdm(range(N_tracks)): 71 | # Load correct track 72 | idx_key = list(test_dataset_dict.keys())[n_t] 73 | 74 | final_folder = 'separate_model' 75 | if conversion_type == 0: 76 | track_name = idx_key + '.3.wav' 77 | if conversion_type == 1: 78 | track_name = idx_key + '.0.wav' 79 | track_est_path = os.path.join(est_folder, final_folder, track_name) 80 | print(track_est_path) 81 | 82 | if conversion_type == 0: 83 | gt_track = os.path.join(test_dataset_path, idx_key + '.3.wav') 84 | cond_track_a = os.path.join(test_dataset_path, idx_key + '.1.wav') 85 | cond_track_b = os.path.join(test_dataset_path, idx_key + '.2.wav') 86 | if conversion_type == 1: 87 | gt_track = os.path.join(test_dataset_path, idx_key + '.0.wav') 88 | cond_track_a = os.path.join(test_dataset_path, idx_key + '.4.wav') 89 | cond_track_b = os.path.join(test_dataset_path, idx_key + '.5.wav') 90 | 91 | est_audio_a, _, _, _= audio_utils.get_audio_track_diff_norm( 92 | cond_track_path=cond_track_a, 93 | checkpoint_path=checkpoint_path_a, 94 | model=model_a, 95 | diff_steps=diff_steps) 96 | 97 | est_audio_b, _, _, _ = audio_utils.get_audio_track_diff_norm( 98 | cond_track_path=cond_track_b, 99 | checkpoint_path=checkpoint_path_b, 100 | model=model_b, 101 | diff_steps=diff_steps) 102 | 103 | # Do the mixing 104 | est_audio = (est_audio_a + est_audio_b)/2.0 105 | 106 | # Write Audio MIX 107 | audio_encoded = tf.audio.encode_wav( 108 | tf.transpose(est_audio), params.SAMPLE_RATE, name=None 109 | ) 110 | write_file_op = tf.io.write_file(track_est_path, audio_encoded) 111 | 112 | # Write Audio single tracks 113 | final_folder_individual = 'separate_model_individual_tracks' 114 | if conversion_type == 0: 115 | track_name_a = idx_key + '.4.wav' 116 | track_name_b = idx_key + '.5.wav' 117 | 118 | if conversion_type == 1: 119 | track_name_a = idx_key + '.1.wav' 120 | track_name_b = idx_key + '.2.wav' 121 | track_est_path_a = os.path.join(est_folder, final_folder_individual, track_name_a) 122 | track_est_path_b = os.path.join(est_folder, final_folder_individual, track_name_b) 123 | 124 | audio_encoded_a = tf.audio.encode_wav( 125 | tf.transpose(est_audio_a), params.SAMPLE_RATE, name=None 126 | ) 127 | write_file_op_a = tf.io.write_file(track_est_path_a, audio_encoded_a) 128 | audio_encoded_b = tf.audio.encode_wav( 129 | tf.transpose(est_audio_b), params.SAMPLE_RATE, name=None 130 | ) 131 | write_file_op_b = tf.io.write_file(track_est_path_b, audio_encoded_b) 132 | 133 | 134 | if __name__=='__main__': 135 | main() -------------------------------------------------------------------------------- /compute_frechet.py: -------------------------------------------------------------------------------- 1 | from frechet_audio_distance import FrechetAudioDistance 2 | 3 | frechet = FrechetAudioDistance( 4 | use_pca=False, 5 | use_activation=False, 6 | verbose=False 7 | ) 8 | 9 | model_types = ['separate_model_individual_tracks','separate_model','mixture_model'] 10 | gt_dataset = "/nas/home/lcomanducci/music_txt/dataset/starnet/starnet_reduced" 11 | for i in range(len(model_types)): 12 | fad_score_diff = frechet.score(gt_dataset, "/nas/home/lcomanducci/music_txt/eval/est_diffusion/"+model_types[i]) 13 | fad_score_ms = frechet.score(gt_dataset, "/nas/home/lcomanducci/music_txt/eval/est_music_net/"+model_types[i]) 14 | print('Model: '+model_types[i]+' FAD diffusion: '+str(fad_score_diff)+' FAD musicstar: '+str(fad_score_ms)) 15 | 16 | 17 | -------------------------------------------------------------------------------- /compute_jaccard.py: -------------------------------------------------------------------------------- 1 | """ 2 | Taken from https://github.com/mahshidaln/Music-STAR/blob/ad23e9f9f18e8872d5e94d71c58fb72ade95c9b1/evaluation/pitch.py 3 | """ 4 | 5 | 6 | import os 7 | import sys 8 | import librosa 9 | import numpy as np 10 | import pretty_midi 11 | from tqdm import tqdm 12 | SR = 16000 13 | import essentia.standard as estd 14 | 15 | 16 | 17 | 18 | MFCC_KWARGS = dict( 19 | n_mfcc=26, 20 | hop_length=500 21 | ) 22 | 23 | 24 | def get_pitches(audio): 25 | pitches = estd.MultiPitchMelodia(sampleRate=SR)(audio) 26 | pitches = [[pretty_midi.utilities.hz_to_note_number(p) for p in pl if not np.isclose(0, p)] 27 | for pl in pitches] 28 | pitches = [[int(p + 0.5) for p in pl] for pl in pitches] 29 | return pitches 30 | 31 | 32 | def pitch_jaccard(output, reference): 33 | pitches_output, pitches_reference = get_pitches(output), get_pitches(reference) 34 | assert len(pitches_output) == len(pitches_reference) 35 | jaccard = [] 36 | for pl_output, pl_reference in zip(pitches_output, pitches_reference): 37 | matches = len(set(pl_output) & set(pl_reference)) 38 | total = len(set(pl_output) | set(pl_reference)) 39 | if total == 0: 40 | jaccard.append(0) 41 | else: 42 | jaccard.append(1 - matches / total) 43 | jaccard = np.mean(jaccard) 44 | return jaccard 45 | 46 | def normalize_audio(audio): 47 | audio = audio - audio.min() 48 | audio = audio/audio.max() 49 | audio = (audio*2)-1 50 | return audio 51 | 52 | def main(): 53 | top = 'samples' 54 | ref_dir = '/nas/home/lcomanducci/music_txt/eval/music_star_test' 55 | diff_dir = '/nas/home/lcomanducci/music_txt/eval/est_diffusion' 56 | music_net_dir = '/nas/home/lcomanducci/music_txt/eval/est_music_net' 57 | 58 | model_types = ['separate_model_individual_tracks', 'separate_model', 'mixture_model'] 59 | 60 | for i in range(len(model_types)): 61 | track_names = os.listdir(os.path.join(diff_dir,model_types[i])) 62 | N_tracks = len(track_names) 63 | jaccard_array_diff = np.zeros(N_tracks) 64 | jaccard_array_music_net = np.zeros(N_tracks) 65 | 66 | for n_t in tqdm(range(N_tracks)): 67 | #print(track_names[i]) 68 | outa_diff, _ = librosa.load(os.path.join(diff_dir,model_types[i],track_names[n_t]), SR) 69 | #print(os.path.join(diff_dir,model_types[i],track_names[n_t])) 70 | outa_music_net, _ = librosa.load(os.path.join(music_net_dir,model_types[i],track_names[n_t]), SR) 71 | # print(os.path.join(music_net_dir,model_types[i],track_names[n_t])) 72 | 73 | outa_diff, outa_music_net = normalize_audio(outa_diff), normalize_audio(outa_music_net) 74 | refa, _ = librosa.load(os.path.join(ref_dir,track_names[n_t]), SR) 75 | refa = normalize_audio(refa)#-np.mean(refa) 76 | jaccard_array_diff[n_t] = pitch_jaccard(outa_diff, refa) 77 | jaccard_array_music_net[n_t] = pitch_jaccard(outa_music_net, refa) 78 | print('Model: ' + model_types[i] + ' Jaccard diffusion: ' + str(np.mean(jaccard_array_diff)) + ' Jaccard musicstar: ' + str(np.mean(jaccard_array_music_net))) 79 | 80 | if __name__ == "__main__": 81 | main() -------------------------------------------------------------------------------- /compute_listening_test_results.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import numpy as np 3 | #header = ['session_test_id,session_uuid,trial_id,rating_stimulus,rating_score,rating_time,rating_comment'] 4 | results = pd.read_csv('eval/listening_test_results.csv',delimiter = ',') 5 | N_participants = len(set(results['session_uuid'])) 6 | Ids = list(set(results['session_uuid'])) 7 | print(str(N_participants)+' Participants') 8 | print('') 9 | 10 | # Single test 11 | n_tracks = 4 12 | results_c1 = np.zeros((N_participants,n_tracks)) 13 | results_c2 = np.zeros((N_participants,n_tracks)) 14 | for n_p in range(N_participants): 15 | result_participant = results[results['session_uuid']==Ids[n_p]] 16 | for i in range(n_tracks): 17 | result_trials = result_participant[result_participant['trial_id']=='track'+str(i+1)+'_single'] 18 | results_c1[n_p,i] = result_trials[result_trials['rating_stimulus']=='C1']['rating_score'] 19 | results_c2[n_p, i] = result_trials[result_trials['rating_stimulus'] == 'C2']['rating_score'] 20 | print('Single Instruments') 21 | print('Diff rating: '+str(np.mean(results_c1))) 22 | print('Universal Net rating: '+str(np.mean(results_c2))) 23 | 24 | 25 | # Multi test 26 | n_tracks = 4 27 | results_c1_multi = np.zeros((N_participants,n_tracks)) 28 | results_c2_multi = np.zeros((N_participants,n_tracks)) 29 | results_c3_multi = np.zeros((N_participants,n_tracks)) 30 | results_c4_multi = np.zeros((N_participants,n_tracks)) 31 | for n_p in range(N_participants): 32 | result_participant = results[results['session_uuid']==Ids[n_p]] 33 | for i in range(n_tracks): 34 | result_trials = result_participant[result_participant['trial_id']=='track'+str(i+5)+'_multi'] 35 | results_c1_multi[n_p,i] = result_trials[result_trials['rating_stimulus']=='C1']['rating_score'] 36 | results_c2_multi[n_p, i] = result_trials[result_trials['rating_stimulus'] == 'C2']['rating_score'] 37 | results_c3_multi[n_p,i] = result_trials[result_trials['rating_stimulus']=='C3']['rating_score'] 38 | results_c4_multi[n_p, i] = result_trials[result_trials['rating_stimulus'] == 'C4']['rating_score'] 39 | 40 | print('') 41 | print('Multi Instruments') 42 | print('Diff (Separate) rating: '+str(np.mean(results_c1_multi))) 43 | print('Universal Net rating: '+str(np.mean(results_c2_multi))) 44 | print('Diff (Mix) rating: '+str(np.mean(results_c3_multi))) 45 | print('MusicStar: '+str(np.mean(results_c4_multi))) 46 | 47 | 48 | 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-------------------------------------------------------------------------------- 1 | --- 2 | title: DiffTransfer 3 | --- 4 | 5 | 6 | # Multi Instrument timbre transfer (mixture) 7 | 8 | ## Clarinet/Vibraphone to Piano/Strings 9 | 10 | |Name| Input Mixture | DiffTransfer | Music-STAR| Ground Truth| 11 | |---|---|---|---|---| 12 | | Pirates of The Carribean | | | | | 13 | | My Heart Will Go On | | | | | 14 | | Beethoven's String | | | | | 15 | 16 | 17 | ## Piano/Strings to Clarinet/Vibraphone 18 | 19 | |Name| Input Mixture | DiffTransfer | Music-STAR| Ground Truth| 20 | |---|---|---|---|---| 21 | | Pirates of The Carribean | | | | | 22 | | My Heart Will Go On | | | | | 23 | | Beethoven's String | | | | | 24 | 25 | # Multi Instrument timbre transfer (single and single/mix) 26 | 27 | ## Clarinet/Vibraphone to Strings/Piano 28 | 29 | Clarinet to Strings 30 | 31 | |Name| Input Clarinet | DiffTransfer | Universal Network| Ground Truth Strings| 32 | |---|---|---|---|---| 33 | | Pirates of The Carribean | | | | | 34 | | My Heart Will Go On | | | | | 35 | | Beethoven's String | | | | | 36 | 37 | Vibraphone to Piano 38 | 39 | |Name| Input Vibraphone | DiffTransfer | Universal Network| Ground Truth Piano| 40 | |---|---|---|---|---| 41 | | Pirates of The Carribean | | | | | 42 | | My Heart Will Go On | | | | | 43 | | Beethoven's String | | | | | 44 | 45 | Clarinet/Vibraphone to Piano/Strings (single/mix) 46 | 47 | |Name| DiffTransfer | Universal Network| Ground Truth Piano/Strings| 48 | |---|---|---|---| 49 | | Pirates of The Carribean | | | | 50 | | My Heart Will Go On | | | | 51 | | Beethoven's String | | | | 52 | 53 | -------------------------------------------------------------------------------- /eval/listening_test_results.csv: -------------------------------------------------------------------------------- 1 | session_test_id,session_uuid,trial_id,rating_stimulus,rating_score,rating_time,rating_comment 2 | 3 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track2_single,C1,5,66082, 4 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track2_single,C2,4,66082, 5 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track4_single,C1,3,55354, 6 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track4_single,C2,1,55354, 7 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track3_single,C1,4,48922, 8 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track3_single,C2,1,48922, 9 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track1_single,C2,3,19946, 10 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track1_single,C1,5,19946, 11 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track7_multi,C4,4,24234, 12 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track7_multi,C3,3,24234, 13 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track7_multi,C1,5,24234, 14 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track7_multi,C2,5,24234, 15 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track5_multi,C2,3,21367, 16 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track5_multi,C1,4,21367, 17 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track5_multi,C4,5,21367, 18 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track5_multi,C3,5,21367, 19 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track8_multi,C1,4,20356, 20 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track8_multi,C3,4,20356, 21 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track8_multi,C2,5,20356, 22 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track8_multi,C4,5,20356, 23 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track6_multi,C4,5,28180, 24 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track6_multi,C2,2,28180, 25 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track6_multi,C1,5,28180, 26 | timbre_transfer,f38152e2-600f-425f-a708-7b08f4fd317e,track6_multi,C3,5,28180, 27 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track2_single,C1,3,89578, 28 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track2_single,C2,1,89578, 29 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track4_single,C1,4,118418, 30 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track4_single,C2,1,118418, 31 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track3_single,C1,4,37838, 32 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track3_single,C2,1,37838, 33 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track1_single,C2,1,46380, 34 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track1_single,C1,3,46380, 35 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track6_multi,C4,4,77174, 36 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track6_multi,C2,1,77174, 37 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track6_multi,C1,3,77174, 38 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track6_multi,C3,4,77174, 39 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track8_multi,C1,4,57287, 40 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track8_multi,C3,4,57287, 41 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track8_multi,C2,3,57287, 42 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track8_multi,C4,2,57287, 43 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track5_multi,C2,2,54821, 44 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track5_multi,C1,4,54821, 45 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track5_multi,C4,2,54821, 46 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track5_multi,C3,3,54821, 47 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track7_multi,C4,4,65397, 48 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track7_multi,C3,3,65397, 49 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track7_multi,C1,3,65397, 50 | timbre_transfer,d56a3360-f64b-4eef-b837-4c93f59f0460,track7_multi,C2,1,65397, 51 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track2_single,C1,3,90012, 52 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track2_single,C2,1,90012, 53 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track1_single,C2,1,49949, 54 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track1_single,C1,4,49949, 55 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track3_single,C1,3,84730, 56 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track3_single,C2,1,84730, 57 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track4_single,C1,3,33495, 58 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track4_single,C2,1,33495, 59 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track7_multi,C4,2,121595, 60 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track7_multi,C3,3,121595, 61 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track7_multi,C1,5,121595, 62 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track7_multi,C2,1,121595, 63 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track8_multi,C1,3,201751, 64 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track8_multi,C3,4,201751, 65 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track8_multi,C2,1,201751, 66 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track8_multi,C4,2,201751, 67 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track6_multi,C4,3,100789, 68 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track6_multi,C2,1,100789, 69 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track6_multi,C1,5,100789, 70 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track6_multi,C3,3,100789, 71 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track5_multi,C2,1,122497, 72 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track5_multi,C1,4,122497, 73 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track5_multi,C4,1,122497, 74 | timbre_transfer,2e089deb-24c6-4367-b917-036de07ffa5f,track5_multi,C3,5,122497, 75 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track2_single,C1,2,42332, 76 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track2_single,C2,2,42332, 77 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track4_single,C1,3,32343, 78 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track4_single,C2,1,32343, 79 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track1_single,C2,1,29738, 80 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track1_single,C1,3,29738, 81 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track3_single,C1,3,23306, 82 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track3_single,C2,1,23306, 83 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track8_multi,C1,2,38546, 84 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track8_multi,C3,3,38546, 85 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track8_multi,C2,1,38546, 86 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track8_multi,C4,1,38546, 87 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track5_multi,C2,2,54656, 88 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track5_multi,C1,3,54656, 89 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track5_multi,C4,1,54656, 90 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track5_multi,C3,4,54656, 91 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track7_multi,C4,2,34157, 92 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track7_multi,C3,2,34157, 93 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track7_multi,C1,3,34157, 94 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track7_multi,C2,1,34157, 95 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track6_multi,C4,2,35438, 96 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track6_multi,C2,1,35438, 97 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track6_multi,C1,3,35438, 98 | timbre_transfer,e8c7c12c-b4d2-4ddd-8984-c37902177239,track6_multi,C3,1,35438, 99 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track4_single,C1,3,57913, 100 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track4_single,C2,1,57913, 101 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track1_single,C2,3,24588, 102 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track1_single,C1,4,24588, 103 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track2_single,C1,4,19070, 104 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track2_single,C2,3,19070, 105 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track3_single,C1,5,30161, 106 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track3_single,C2,2,30161, 107 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track8_multi,C1,3,98098, 108 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track8_multi,C3,5,98098, 109 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track8_multi,C2,3,98098, 110 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track8_multi,C4,2,98098, 111 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track7_multi,C4,4,46268, 112 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track7_multi,C3,4,46268, 113 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track7_multi,C1,5,46268, 114 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track7_multi,C2,1,46268, 115 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track6_multi,C4,3,35236, 116 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track6_multi,C2,1,35236, 117 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track6_multi,C1,5,35236, 118 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track6_multi,C3,5,35236, 119 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track5_multi,C2,2,36002, 120 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track5_multi,C1,5,36002, 121 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track5_multi,C4,4,36002, 122 | timbre_transfer,7a7705ec-a64e-4150-84b7-b443f2cc7602,track5_multi,C3,5,36002, 123 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track2_single,C1,5,72576, 124 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track2_single,C2,3,72576, 125 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track3_single,C1,4,48419, 126 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track3_single,C2,1,48419, 127 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track4_single,C1,2,59403, 128 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track4_single,C2,1,59403, 129 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track1_single,C2,2,60608, 130 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track1_single,C1,5,60608, 131 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track6_multi,C4,3,74408, 132 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track6_multi,C2,1,74408, 133 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track6_multi,C1,5,74408, 134 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track6_multi,C3,4,74408, 135 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track5_multi,C2,1,59234, 136 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track5_multi,C1,5,59234, 137 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track5_multi,C4,3,59234, 138 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track5_multi,C3,4,59234, 139 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track7_multi,C4,3,82590, 140 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track7_multi,C3,4,82590, 141 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track7_multi,C1,5,82590, 142 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track7_multi,C2,1,82590, 143 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track8_multi,C1,4,83245, 144 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track8_multi,C3,5,83245, 145 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track8_multi,C2,2,83245, 146 | timbre_transfer,b61a4f90-cad9-4e83-8bb8-6446936236bd,track8_multi,C4,3,83245, 147 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track2_single,C1,3,46005, 148 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track2_single,C2,2,46005, 149 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track4_single,C1,4,19253, 150 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track4_single,C2,2,19253, 151 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track1_single,C2,3,20343, 152 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track1_single,C1,5,20343, 153 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track3_single,C1,4,11994, 154 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track3_single,C2,2,11994, 155 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track6_multi,C4,2,60348, 156 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track6_multi,C2,1,60348, 157 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track6_multi,C1,5,60348, 158 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track6_multi,C3,3,60348, 159 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track8_multi,C1,3,45511, 160 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track8_multi,C3,4,45511, 161 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track8_multi,C2,1,45511, 162 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track8_multi,C4,2,45511, 163 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track7_multi,C4,2,44469, 164 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track7_multi,C3,4,44469, 165 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track7_multi,C1,4,44469, 166 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track7_multi,C2,1,44469, 167 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track5_multi,C2,1,20182, 168 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track5_multi,C1,5,20182, 169 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track5_multi,C4,2,20182, 170 | timbre_transfer,34fbc033-2334-47cd-a451-50dfea15aa40,track5_multi,C3,4,20182, 171 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track4_single,C1,4,43141, 172 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track4_single,C2,2,43141, 173 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track3_single,C1,4,32934, 174 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track3_single,C2,4,32934, 175 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track2_single,C1,3,37028, 176 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track2_single,C2,5,37028, 177 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track1_single,C2,2,30125, 178 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track1_single,C1,5,30125, 179 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track5_multi,C2,3,41601, 180 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track5_multi,C1,5,41601, 181 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track5_multi,C4,3,41601, 182 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track5_multi,C3,5,41601, 183 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track6_multi,C4,4,28628, 184 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track6_multi,C2,2,28628, 185 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track6_multi,C1,4,28628, 186 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track6_multi,C3,4,28628, 187 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track8_multi,C1,4,42347, 188 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track8_multi,C3,4,42347, 189 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track8_multi,C2,3,42347, 190 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track8_multi,C4,4,42347, 191 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track7_multi,C4,4,42758, 192 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track7_multi,C3,4,42758, 193 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track7_multi,C1,5,42758, 194 | timbre_transfer,a322bb2b-3de9-4605-b915-b20de1f59ee4,track7_multi,C2,1,42758, 195 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track4_single,C1,2,23761, 196 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track4_single,C2,1,23761, 197 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track3_single,C1,3,20067, 198 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track3_single,C2,2,20067, 199 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track1_single,C2,1,23190, 200 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track1_single,C1,4,23190, 201 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track2_single,C1,3,17661, 202 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track2_single,C2,2,17661, 203 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track6_multi,C4,2,36867, 204 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track6_multi,C2,1,36867, 205 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track6_multi,C1,3,36867, 206 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track6_multi,C3,3,36867, 207 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track5_multi,C2,2,41411, 208 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track5_multi,C1,4,41411, 209 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track5_multi,C4,2,41411, 210 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track5_multi,C3,5,41411, 211 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track8_multi,C1,2,40143, 212 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track8_multi,C3,3,40143, 213 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track8_multi,C2,2,40143, 214 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track8_multi,C4,3,40143, 215 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track7_multi,C4,2,39222, 216 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track7_multi,C3,3,39222, 217 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track7_multi,C1,3,39222, 218 | timbre_transfer,f28b4b96-e3ec-4e1f-9a46-579a8b3a2484,track7_multi,C2,1,39222, 219 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track4_single,C1,3,86634, 220 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track4_single,C2,2,86634, 221 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track2_single,C1,4,41909, 222 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track2_single,C2,2,41909, 223 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track3_single,C1,4,43083, 224 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track3_single,C2,2,43083, 225 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track1_single,C2,2,43373, 226 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track1_single,C1,4,43373, 227 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track7_multi,C4,2,54967, 228 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track7_multi,C3,2,54967, 229 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track7_multi,C1,3,54967, 230 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track7_multi,C2,1,54967, 231 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track5_multi,C2,2,54301, 232 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track5_multi,C1,4,54301, 233 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track5_multi,C4,3,54301, 234 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track5_multi,C3,4,54301, 235 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track8_multi,C1,2,50700, 236 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track8_multi,C3,3,50700, 237 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track8_multi,C2,2,50700, 238 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track8_multi,C4,2,50700, 239 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track6_multi,C4,3,46294, 240 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track6_multi,C2,2,46294, 241 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track6_multi,C1,4,46294, 242 | timbre_transfer,bbdbd90a-7758-4a88-8d14-396453d62332,track6_multi,C3,4,46294, 243 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track2_single,C1,4,20954, 244 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track2_single,C2,2,20954, 245 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track3_single,C1,4,29574, 246 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track3_single,C2,2,29574, 247 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track1_single,C2,1,16943, 248 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track1_single,C1,5,16943, 249 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track4_single,C1,4,18691, 250 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track4_single,C2,1,18691, 251 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track6_multi,C4,4,30730, 252 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track6_multi,C2,1,30730, 253 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track6_multi,C1,3,30730, 254 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track6_multi,C3,3,30730, 255 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track8_multi,C1,3,37442, 256 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track8_multi,C3,5,37442, 257 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track8_multi,C2,2,37442, 258 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track8_multi,C4,4,37442, 259 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track7_multi,C4,4,26693, 260 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track7_multi,C3,4,26693, 261 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track7_multi,C1,4,26693, 262 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track7_multi,C2,1,26693, 263 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track5_multi,C2,2,21227, 264 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track5_multi,C1,5,21227, 265 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track5_multi,C4,3,21227, 266 | timbre_transfer,3f8183b4-fce3-4a2a-a0fb-fa4b7647dde8,track5_multi,C3,4,21227, 267 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track3_single,C1,4,48480, 268 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track3_single,C2,3,48480, 269 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track4_single,C1,4,31105, 270 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track4_single,C2,2,31105, 271 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track2_single,C1,4,34029, 272 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track2_single,C2,3,34029, 273 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track1_single,C2,2,37075, 274 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track1_single,C1,5,37075, 275 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track5_multi,C2,1,50256, 276 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track5_multi,C1,5,50256, 277 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track5_multi,C4,2,50256, 278 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track5_multi,C3,4,50256, 279 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track8_multi,C1,2,49070, 280 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track8_multi,C3,4,49070, 281 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track8_multi,C2,2,49070, 282 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track8_multi,C4,3,49070, 283 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track7_multi,C4,2,49402, 284 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track7_multi,C3,4,49402, 285 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track7_multi,C1,5,49402, 286 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track7_multi,C2,1,49402, 287 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track6_multi,C4,4,120138, 288 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track6_multi,C2,2,120138, 289 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track6_multi,C1,5,120138, 290 | timbre_transfer,ceee3929-8863-4638-bf81-b9628bec628f,track6_multi,C3,4,120138, 291 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track4_single,C1,3,56306, 292 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track4_single,C2,2,56306, 293 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track1_single,C2,1,36949, 294 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track1_single,C1,4,36949, 295 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track3_single,C1,3,27591, 296 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track3_single,C2,1,27591, 297 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track2_single,C1,3,25376, 298 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track2_single,C2,2,25376, 299 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track6_multi,C4,3,49325, 300 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track6_multi,C2,1,49325, 301 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track6_multi,C1,2,49325, 302 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track6_multi,C3,3,49325, 303 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track8_multi,C1,3,33390, 304 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track8_multi,C3,3,33390, 305 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track8_multi,C2,2,33390, 306 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track8_multi,C4,2,33390, 307 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track5_multi,C2,1,39940, 308 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track5_multi,C1,4,39940, 309 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track5_multi,C4,2,39940, 310 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track5_multi,C3,4,39940, 311 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track7_multi,C4,3,34397, 312 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track7_multi,C3,4,34397, 313 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track7_multi,C1,4,34397, 314 | timbre_transfer,6ec86268-4725-4514-998e-c3ea73f79a4b,track7_multi,C2,1,34397, 315 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track4_single,C1,3,78908, 316 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track4_single,C2,1,78908, 317 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track2_single,C1,3,95135, 318 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track2_single,C2,2,95135, 319 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track1_single,C2,1,44690, 320 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track1_single,C1,2,44690, 321 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track3_single,C1,4,45949, 322 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track3_single,C2,1,45949, 323 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track5_multi,C2,2,60006, 324 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track5_multi,C1,4,60006, 325 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track5_multi,C4,3,60006, 326 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track5_multi,C3,5,60006, 327 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track8_multi,C1,3,88956, 328 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track8_multi,C3,5,88956, 329 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track8_multi,C2,3,88956, 330 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track8_multi,C4,3,88956, 331 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track7_multi,C4,4,65247, 332 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track7_multi,C3,3,65247, 333 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track7_multi,C1,5,65247, 334 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track7_multi,C2,1,65247, 335 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track6_multi,C4,4,127285, 336 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track6_multi,C2,1,127285, 337 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track6_multi,C1,2,127285, 338 | timbre_transfer,fc6dfb94-df08-41d9-98e9-f3b65f12c662,track6_multi,C3,3,127285, 339 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track1_single,C2,1,54388, 340 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track1_single,C1,4,54388, 341 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track2_single,C1,3,60869, 342 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track2_single,C2,4,60869, 343 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track4_single,C1,5,34502, 344 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track4_single,C2,1,34502, 345 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track3_single,C1,4,33481, 346 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track3_single,C2,2,33481, 347 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track7_multi,C4,3,53492, 348 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track7_multi,C3,4,53492, 349 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track7_multi,C1,5,53492, 350 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track7_multi,C2,1,53492, 351 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track8_multi,C1,3,59989, 352 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track8_multi,C3,4,59989, 353 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track8_multi,C2,2,59989, 354 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track8_multi,C4,3,59989, 355 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track6_multi,C4,4,54467, 356 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track6_multi,C2,1,54467, 357 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track6_multi,C1,5,54467, 358 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track6_multi,C3,4,54467, 359 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track5_multi,C2,1,71947, 360 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track5_multi,C1,5,71947, 361 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track5_multi,C4,2,71947, 362 | timbre_transfer,8e879c18-59af-4cf7-97e6-fd4a3233878d,track5_multi,C3,5,71947, 363 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track2_single,C1,2,23973, 364 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track2_single,C2,4,23973, 365 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track1_single,C2,1,15012, 366 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track1_single,C1,4,15012, 367 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track3_single,C1,3,16867, 368 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track3_single,C2,1,16867, 369 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track4_single,C1,3,22241, 370 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track4_single,C2,1,22241, 371 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track7_multi,C4,3,21410, 372 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track7_multi,C3,2,21410, 373 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track7_multi,C1,3,21410, 374 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track7_multi,C2,1,21410, 375 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track8_multi,C1,2,20735, 376 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track8_multi,C3,4,20735, 377 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track8_multi,C2,3,20735, 378 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track8_multi,C4,2,20735, 379 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track5_multi,C2,1,16574, 380 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track5_multi,C1,4,16574, 381 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track5_multi,C4,2,16574, 382 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track5_multi,C3,3,16574, 383 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track6_multi,C4,3,17782, 384 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track6_multi,C2,1,17782, 385 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track6_multi,C1,3,17782, 386 | timbre_transfer,e136d492-4e79-4f7e-8a8a-5e021d3657ec,track6_multi,C3,3,17782, 387 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track1_single,C2,1,23316, 388 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track1_single,C1,4,23316, 389 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track3_single,C1,4,31769, 390 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track3_single,C2,1,31769, 391 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track4_single,C1,2,26036, 392 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track4_single,C2,1,26036, 393 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track2_single,C1,4,14819, 394 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track2_single,C2,4,14819, 395 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track7_multi,C4,2,28332, 396 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track7_multi,C3,4,28332, 397 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track7_multi,C1,4,28332, 398 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track7_multi,C2,1,28332, 399 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track8_multi,C1,3,29057, 400 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track8_multi,C3,4,29057, 401 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track8_multi,C2,4,29057, 402 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track8_multi,C4,5,29057, 403 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track6_multi,C4,4,19373, 404 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track6_multi,C2,1,19373, 405 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track6_multi,C1,2,19373, 406 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track6_multi,C3,4,19373, 407 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track5_multi,C2,3,19176, 408 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track5_multi,C1,4,19176, 409 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track5_multi,C4,2,19176, 410 | timbre_transfer,d3b43934-651d-4988-a8d2-03f9b0a31166,track5_multi,C3,4,19176, 411 | -------------------------------------------------------------------------------- /network_lib_attention.py: -------------------------------------------------------------------------------- 1 | """Partially taken code from https://github.com/keras-team/keras-io/blob/master/examples/generative/ddim.py""" 2 | 3 | import math 4 | import matplotlib.pyplot as plt 5 | import tensorflow as tf 6 | import tensorflow_hub as hub 7 | import params 8 | from tensorflow import keras 9 | from keras import layers 10 | import io 11 | tf.config.list_physical_devices('GPU') 12 | # SoundStream Spectrogram Inverter (Stuff stolen from https://storage.googleapis.com/music-synthesis-with-spectrogram-diffusion/index.html) and https://tfhub.dev/google/soundstream/mel/decoder/music/1 13 | module = hub.KerasLayer('https://tfhub.dev/google/soundstream/mel/decoder/music/1') 14 | 15 | do_norm_specs = True 16 | do_normalization = False 17 | # data 18 | dataset_repetitions = 5 19 | num_epochs = 1 # train for at least 50 epochs for good results 20 | # KID = Kernel Inception Distance, see related section 21 | kid_image_size = 75 22 | kid_diffusion_steps = 5 23 | plot_diffusion_steps = 20 24 | 25 | # sampling 26 | min_signal_rate = 0.02 27 | max_signal_rate = 0.95 28 | 29 | # architecture 30 | embedding_dims = 32 31 | embedding_max_frequency = 1000.0 32 | 33 | 34 | 35 | 36 | 37 | def plot_to_image(figure): 38 | """Converts the matplotlib plot specified by 'figure' to a PNG image and 39 | returns it. The supplied figure is closed and inaccessible after this call.""" 40 | # Save the plot to a PNG in memory. 41 | buf = io.BytesIO() 42 | plt.savefig(buf, format='png') 43 | # Closing the figure prevents it from being displayed directly inside 44 | # the notebook. 45 | plt.close(figure) 46 | buf.seek(0) 47 | # Convert PNG buffer to TF image 48 | image = tf.image.decode_png(buf.getvalue(), channels=4) 49 | # Add the batch dimension 50 | image = tf.expand_dims(image, 0) 51 | return image 52 | def denorm_tensor(audio, max_val=6,min_val=-12): 53 | max_val = 6 54 | min_val = -12 55 | #return(audio - min_val)/(max_val-min_val) 56 | #return(audio - min_val)/(max_val-min_val) 57 | #return (((audio +1)/2)*max_val + min_val) 58 | return (audio * (max_val-min_val))+min_val 59 | 60 | 61 | # optimization 62 | ema = 0.999 63 | #learning_rate = 1e-3 64 | weight_decay = 1e-4 65 | N_IMG_CHANNELS = 1 #3 66 | COND_IMG_CHANNELS=2 67 | 68 | def kernel_init(scale): 69 | scale = max(scale, 1e-10) 70 | return keras.initializers.VarianceScaling( 71 | scale, mode="fan_avg", distribution="uniform" 72 | ) 73 | 74 | class AttentionBlock(layers.Layer): 75 | """Applies self-attention. 76 | 77 | Args: 78 | units: Number of units in the dense layers 79 | groups: Number of groups to be used for GroupNormalization layer 80 | """ 81 | 82 | def __init__(self, units, groups=8, **kwargs): 83 | self.units = units 84 | self.groups = groups 85 | super().__init__(**kwargs) 86 | 87 | self.norm = layers.GroupNormalization(groups=groups) 88 | self.query = layers.Dense(units, kernel_initializer=kernel_init(1.0)) 89 | self.key = layers.Dense(units, kernel_initializer=kernel_init(1.0)) 90 | self.value = layers.Dense(units, kernel_initializer=kernel_init(1.0)) 91 | self.proj = layers.Dense(units, kernel_initializer=kernel_init(0.0)) 92 | 93 | def call(self, inputs): 94 | batch_size = tf.shape(inputs)[0] 95 | height = tf.shape(inputs)[1] 96 | width = tf.shape(inputs)[2] 97 | scale = tf.cast(self.units, tf.float32) ** (-0.5) 98 | 99 | inputs = self.norm(inputs) 100 | q = self.query(inputs) 101 | k = self.key(inputs) 102 | v = self.value(inputs) 103 | 104 | attn_score = tf.einsum("bhwc, bHWc->bhwHW", q, k) * scale 105 | attn_score = tf.reshape(attn_score, [batch_size, height, width, height * width]) 106 | 107 | attn_score = tf.nn.softmax(attn_score, -1) 108 | attn_score = tf.reshape(attn_score, [batch_size, height, width, height, width]) 109 | 110 | proj = tf.einsum("bhwHW,bHWc->bhwc", attn_score, v) 111 | proj = self.proj(proj) 112 | return inputs + proj 113 | 114 | 115 | def sinusoidal_embedding(x): 116 | embedding_min_frequency = 1.0 117 | frequencies = tf.exp( 118 | tf.linspace( 119 | tf.math.log(embedding_min_frequency), 120 | tf.math.log(embedding_max_frequency), 121 | embedding_dims // 2, 122 | ) 123 | ) 124 | angular_speeds = 2.0 * math.pi * frequencies 125 | embeddings = tf.concat( 126 | [tf.sin(angular_speeds * x), tf.cos(angular_speeds * x)], axis=3 127 | ) 128 | return embeddings 129 | 130 | def ResidualBlock(width): 131 | def apply(x): 132 | input_width = x.shape[3] 133 | if input_width == width: 134 | residual = x 135 | else: 136 | residual = layers.Conv2D(width, kernel_size=1)(x) 137 | x = layers.BatchNormalization(center=False, scale=False)(x) 138 | x = layers.Conv2D( 139 | width, kernel_size=3, padding="same", activation=keras.activations.swish 140 | )(x) 141 | x = layers.Conv2D(width, kernel_size=3, padding="same")(x) 142 | x = layers.Add()([x, residual]) 143 | return x 144 | 145 | return apply 146 | 147 | 148 | def DownBlock(width, block_depth): 149 | def apply(x): 150 | x, skips = x 151 | for _ in range(block_depth): 152 | x = ResidualBlock(width)(x) 153 | skips.append(x) 154 | x = layers.AveragePooling2D(pool_size=2)(x) 155 | return x 156 | 157 | return apply 158 | 159 | 160 | def UpBlock(width, block_depth): 161 | def apply(x): 162 | x, skips = x 163 | x = layers.UpSampling2D(size=2, interpolation="bilinear")(x) 164 | for _ in range(block_depth): 165 | x = layers.Concatenate()([x, skips.pop()]) 166 | x = ResidualBlock(width)(x) 167 | return x 168 | return apply 169 | 170 | def get_network(mel_spec_size, widths, block_depth,has_attention): 171 | norm_groups=8 172 | 173 | noisy_images = keras.Input(shape=(mel_spec_size[0], mel_spec_size[1], COND_IMG_CHANNELS)) 174 | noise_variances = keras.Input(shape=(1, 1, 1)) 175 | 176 | e = layers.Lambda(sinusoidal_embedding)(noise_variances) 177 | e = layers.UpSampling2D(size=mel_spec_size, interpolation="nearest")(e) 178 | 179 | x = layers.Conv2D(widths[0], kernel_size=1)(noisy_images) 180 | x = layers.Concatenate()([x, e]) 181 | 182 | skips = [] 183 | idx = 0 184 | for width in widths[:-1]: 185 | x = DownBlock(width, block_depth)([x, skips]) 186 | if has_attention[idx]: 187 | x = AttentionBlock(width, groups=norm_groups)(x) 188 | idx = idx +1 189 | 190 | for _ in range(block_depth): 191 | x = ResidualBlock(widths[-1])(x) 192 | x = AttentionBlock(widths[-1], groups=norm_groups)(x) 193 | 194 | idx = len(widths[:-1])-1 195 | for width in reversed(widths[:-1]): 196 | x = UpBlock(width, block_depth)([x, skips]) 197 | if has_attention[idx]: 198 | x = AttentionBlock(width, groups=norm_groups)(x) 199 | idx = idx -1 200 | 201 | x = layers.Conv2D(N_IMG_CHANNELS, kernel_size=1, kernel_initializer="zeros")(x) 202 | 203 | return keras.Model([noisy_images, noise_variances], x, name="residual_unet") 204 | 205 | 206 | class DiffusionModel(keras.Model): 207 | def __init__(self, mel_spec_size, widths, block_depth, val_data, has_attention, logdir='logs',batch_size=64): # val_data is BAD and should be removed 208 | super().__init__() 209 | if do_normalization: 210 | self.normalizer = layers.Normalization() 211 | self.network = get_network(mel_spec_size, widths, block_depth,has_attention) 212 | self.ema_network = keras.models.clone_model(self.network) 213 | self.val_data = val_data 214 | self.mel_spec_size = mel_spec_size 215 | self.logdir=logdir 216 | self.summary_writer = tf.summary.create_file_writer(logdir) 217 | self.batch_size=batch_size 218 | 219 | def compile(self, **kwargs): 220 | super().compile(**kwargs) 221 | self.noise_loss_tracker = keras.metrics.Mean(name="n_loss") 222 | self.image_loss_tracker = keras.metrics.Mean(name="i_loss") 223 | 224 | @property 225 | def metrics(self): 226 | return [self.noise_loss_tracker, self.image_loss_tracker]#, self.kid] 227 | 228 | def denormalize(self, images): 229 | # convert the pixel values back to 0-1 range 230 | if do_normalization: 231 | images = self.normalizer.mean + images * self.normalizer.variance**0.5 232 | return images #tf.clip_by_value(images, 0.0, 1.0) 233 | 234 | def diffusion_schedule(self, diffusion_times): 235 | # diffusion times -> angles 236 | start_angle = tf.acos(max_signal_rate) 237 | end_angle = tf.acos(min_signal_rate) 238 | 239 | diffusion_angles = start_angle + diffusion_times * (end_angle - start_angle) 240 | 241 | # angles -> signal and noise rates 242 | signal_rates = tf.cos(diffusion_angles) 243 | noise_rates = tf.sin(diffusion_angles) 244 | # note that their squared sum is always: sin^2(x) + cos^2(x) = 1 245 | 246 | return noise_rates, signal_rates 247 | 248 | def denoise(self, noisy_images, noise_rates, signal_rates, training): 249 | # the exponential moving average weights are used at evaluation 250 | if training: 251 | network = self.network 252 | else: 253 | network = self.ema_network 254 | 255 | # predict noise component and calculate the image component using it 256 | pred_noises = network([noisy_images, noise_rates**2], training=training) 257 | pred_images = (tf.expand_dims(noisy_images[:,:,:,0],axis=-1) - noise_rates * pred_noises) / signal_rates 258 | 259 | return pred_noises, pred_images 260 | 261 | def reverse_diffusion(self, initial_noise, cond_images, diffusion_steps): 262 | # reverse diffusion = sampling 263 | num_images = initial_noise.shape[0] 264 | step_size = 1.0 / diffusion_steps 265 | 266 | # important line: 267 | # at the first sampling step, the "noisy image" is pure noise 268 | # but its signal rate is assumed to be nonzero (min_signal_rate) 269 | next_noisy_images = initial_noise 270 | for step in range(diffusion_steps): 271 | noisy_images = next_noisy_images 272 | 273 | # separate the current noisy image to its components 274 | diffusion_times = tf.ones((num_images, 1, 1, 1)) - step * step_size 275 | noise_rates, signal_rates = self.diffusion_schedule(diffusion_times) 276 | pred_noises, pred_images = self.denoise( 277 | tf.concat([noisy_images, cond_images],axis=-1), noise_rates, signal_rates, training=False 278 | ) 279 | # remix the predicted components using the next signal and noise rates 280 | next_diffusion_times = diffusion_times - step_size 281 | next_noise_rates, next_signal_rates = self.diffusion_schedule( 282 | next_diffusion_times 283 | ) 284 | next_noisy_images = ( 285 | next_signal_rates * pred_images + next_noise_rates * pred_noises 286 | ) 287 | # this new noisy image will be used in the next step 288 | 289 | return pred_images 290 | 291 | def generate(self, cond_images, num_images, diffusion_steps): 292 | # noise -> images -> denormalized images 293 | initial_noise = tf.random.normal(shape=(num_images, self.mel_spec_size[0], self.mel_spec_size[1], N_IMG_CHANNELS)) 294 | 295 | generated_images = self.reverse_diffusion(initial_noise, cond_images, diffusion_steps) 296 | if do_normalization: 297 | generated_images = self.denormalize(tf.concat([generated_images,cond_images],axis=-1)) # WRONG NORM 298 | generated_images = tf.expand_dims(generated_images[:,:,:,0],axis=-1) 299 | return generated_images 300 | 301 | def generate_fixed_noise(self, cond_images, num_images, diffusion_steps): 302 | # noise -> images -> denormalized images 303 | initial_noise = tf.random.normal(shape=(1, self.mel_spec_size[0], self.mel_spec_size[1], N_IMG_CHANNELS)) 304 | initial_noise = tf.tile(initial_noise,tf.constant([num_images,1,1,1])) 305 | generated_images = self.reverse_diffusion(initial_noise, cond_images, diffusion_steps) 306 | if do_normalization: 307 | generated_images = self.denormalize(tf.concat([generated_images,cond_images],axis=-1)) # WRONG NORM 308 | generated_images = tf.expand_dims(generated_images[:,:,:,0],axis=-1) 309 | return generated_images 310 | 311 | def train_step(self, images): 312 | # normalize images to have standard deviation of 1, like the noises 313 | if do_normalization: 314 | images = self.normalizer(images, training=True) 315 | 316 | des_images = tf.expand_dims(images[:,:,:,0],axis=-1) 317 | cond_images = tf.expand_dims(images[:,:,:,1],axis=-1) 318 | 319 | noises = tf.random.normal(shape=(self.batch_size, self.mel_spec_size[0], self.mel_spec_size[1], N_IMG_CHANNELS)) 320 | 321 | # sample uniform random diffusion times 322 | diffusion_times = tf.random.uniform( 323 | shape=(self.batch_size, 1, 1, 1), minval=0.0, maxval=1.0 324 | ) 325 | noise_rates, signal_rates = self.diffusion_schedule(diffusion_times) 326 | # mix the images with noises accordingly 327 | noisy_images = signal_rates * des_images + noise_rates * noises 328 | 329 | # Concatenatioon to condition 330 | noisy_images = tf.concat([noisy_images, cond_images],axis=-1) 331 | 332 | with tf.GradientTape() as tape: 333 | # train the network to separate noisy images to their components 334 | pred_noises, pred_images = self.denoise( 335 | noisy_images, noise_rates, signal_rates, training=True 336 | ) 337 | 338 | noise_loss = self.loss(noises, pred_noises) # used for training 339 | image_loss = self.loss(des_images, pred_images) # only used as metric 340 | 341 | gradients = tape.gradient(noise_loss, self.network.trainable_weights) 342 | self.optimizer.apply_gradients(zip(gradients, self.network.trainable_weights)) 343 | 344 | self.noise_loss_tracker.update_state(noise_loss) 345 | self.image_loss_tracker.update_state(image_loss) 346 | 347 | # track the exponential moving averages of weights 348 | for weight, ema_weight in zip(self.network.weights, self.ema_network.weights): 349 | ema_weight.assign(ema * ema_weight + (1 - ema) * weight) 350 | 351 | return {m.name: m.result() for m in self.metrics[:-1]} 352 | 353 | def test_step(self, images): 354 | # normalize images to have standard deviation of 1, like the noises 355 | if do_normalization: 356 | images = self.normalizer(images, training=False) 357 | 358 | des_images = tf.expand_dims(images[:,:,:,0],axis=-1) 359 | cond_images = tf.expand_dims(images[:,:,:,1],axis=-1) 360 | 361 | noises = tf.random.normal(shape=(self.batch_size, self.mel_spec_size[0], self.mel_spec_size[1], N_IMG_CHANNELS)) 362 | 363 | # sample uniform random diffusion times 364 | diffusion_times = tf.random.uniform( 365 | shape=(self.batch_size, 1, 1, 1), minval=0.0, maxval=1.0 366 | ) 367 | noise_rates, signal_rates = self.diffusion_schedule(diffusion_times) 368 | # mix the images with noises accordingly 369 | noisy_images = signal_rates * des_images + noise_rates * noises 370 | 371 | noisy_images = tf.concat([noisy_images, cond_images],axis=-1) 372 | 373 | # use the network to separate noisy images to their components 374 | pred_noises, pred_images = self.denoise( 375 | noisy_images, noise_rates, signal_rates, training=False 376 | ) 377 | 378 | noise_loss = self.loss(noises, pred_noises) 379 | image_loss = self.loss(des_images, pred_images) 380 | 381 | self.image_loss_tracker.update_state(image_loss) 382 | self.noise_loss_tracker.update_state(noise_loss) 383 | 384 | return {m.name: m.result() for m in self.metrics} 385 | 386 | def plot_images(self, epoch=None, logs=None, num_rows=4, num_cols=4): 387 | if epoch % 10 == 0: 388 | images = self.val_data 389 | if do_normalization: 390 | images = self.normalizer(images, training=False) 391 | des_images = tf.expand_dims(images[:,:,:,0],axis=-1) 392 | cond_images = tf.expand_dims(images[:,:,:,1],axis=-1) 393 | cond_images = cond_images[:18] 394 | # plot random generated images for visual evaluation of generation quality 395 | generated_images = self.generate(cond_images, 396 | num_images=num_rows * num_cols, 397 | diffusion_steps=plot_diffusion_steps, 398 | ) 399 | 400 | spec_figures= plt.figure(figsize=(num_cols * 2.0, num_rows * 2.0)) 401 | for row in range(num_rows): 402 | for col in range(num_cols): 403 | index = row * num_cols + col 404 | plt.subplot(num_rows, num_cols, index + 1) 405 | plt.imshow(tf.transpose(generated_images[index],(1,0,2))) 406 | plt.gca().invert_yaxis() 407 | plt.axis("off") 408 | plt.tight_layout() 409 | 410 | # Audio 411 | idx = tf.random.uniform((),0,(num_rows * num_cols),dtype=tf.int32) 412 | cond_spec = tf.expand_dims(cond_images[idx,:,:,0],0) 413 | est_spec = tf.expand_dims(generated_images[idx,:,:,0],0) 414 | gt_spec = tf.expand_dims(des_images[idx,:,:,0],0) 415 | comp_SPEC_FIG = plt.figure() 416 | plt.subplot(311), 417 | plt.title('Cond ') 418 | plt.imshow(tf.transpose(cond_spec[0]), aspect='auto'),plt.colorbar() 419 | plt.gca().invert_yaxis() 420 | plt.subplot(312), 421 | plt.title('Est ') 422 | plt.imshow(tf.transpose(est_spec[0]), aspect='auto'),plt.colorbar() 423 | plt.gca().invert_yaxis() 424 | plt.subplot(313), 425 | plt.title('Gt ') 426 | plt.imshow(tf.transpose(gt_spec[0]), aspect='auto'), plt.colorbar() 427 | plt.gca().invert_yaxis() 428 | plt.tight_layout() 429 | 430 | 431 | if do_norm_specs: 432 | est_spec = denorm_tensor(est_spec) 433 | cond_spec = denorm_tensor(cond_spec) 434 | gt_spxec = denorm_tensor(gt_spec) 435 | audio_est = tf.cast(tf.expand_dims(module(est_spec),axis=-1),dtype=tf.float32) 436 | cond_audio = tf.cast(tf.expand_dims(module(cond_spec),axis=-1),dtype=tf.float32) 437 | gt_audio = tf.cast(tf.expand_dims(module(gt_spec),axis=-1),dtype=tf.float32) 438 | 439 | 440 | with self.summary_writer.as_default(): 441 | # Write images to tensorboard 442 | tf.summary.image("Examples", plot_to_image(spec_figures), step=epoch) 443 | tf.summary.image("TT", plot_to_image(comp_SPEC_FIG), step=epoch) 444 | tf.summary.audio('Estimated Audio ', audio_est, sample_rate=params.SAMPLE_RATE, step=epoch) 445 | tf.summary.audio('Conditioning Audio ', cond_audio, sample_rate=params.SAMPLE_RATE, step=epoch) 446 | tf.summary.audio('GT audio violin', gt_audio, sample_rate=params.SAMPLE_RATE, step=epoch) 447 | 448 | -------------------------------------------------------------------------------- /params.py: -------------------------------------------------------------------------------- 1 | import tensorflow as tf 2 | # PARAMETERS 3 | # Audio Stuff 4 | SAMPLE_RATE = 16000 5 | N_FFT = 1024 6 | HOP_LENGTH = 320 7 | WIN_LENGTH = 640 # (20 ms) 8 | N_MEL_CHANNELS = 128 9 | MEL_FMIN = 0.0 10 | MEL_FMAX = int(SAMPLE_RATE // 2) 11 | CLIP_VALUE_MIN = 1e-5 12 | CLIP_VALUE_MAX = 1e8 13 | N_IMG_CHANNELS = 1 #3 14 | 15 | MEL_BASIS = tf.signal.linear_to_mel_weight_matrix( 16 | num_mel_bins=N_MEL_CHANNELS, 17 | num_spectrogram_bins=N_FFT // 2 + 1, 18 | sample_rate=SAMPLE_RATE, 19 | lower_edge_hertz=MEL_FMIN, 20 | upper_edge_hertz=MEL_FMAX) 21 | 22 | 23 | 24 | # data 25 | dataset_repetitions = 5 26 | num_epochs = 1 # train for at least 50 epochs for good results 27 | mel_spec_size = (128, 128) 28 | # KID = Kernel Inception Distance, see related section 29 | kid_image_size = 75 30 | kid_diffusion_steps = 10 31 | plot_diffusion_steps = 20 32 | # sampling 33 | min_signal_rate = 0.02 34 | max_signal_rate = 0.95 35 | 36 | # architecture 37 | embedding_dims = 32 38 | embedding_max_frequency = 1000.0 39 | widths = [32, 64, 96, 128] 40 | block_depth = 2 41 | 42 | 43 | # optimization 44 | batch_size = 64 45 | ema = 0.999 46 | learning_rate = 2e-5 47 | weight_decay = 1e-4 48 | 49 | # New 50 | #widths = [32, 64, 96, 128] 51 | #block_depth = 2 52 | 53 | # optimization 54 | batch_size = 64 55 | 56 | widths = [64, 128, 256, 512] 57 | has_attention = [False, False, True, True] 58 | block_depth = 4 59 | batch_size = 16 60 | 61 | duration_sample = 40960 #*2 if 256 62 | duration_track = 480000 63 | 64 | -------------------------------------------------------------------------------- /preprocess_tracks_listening_test.py: -------------------------------------------------------------------------------- 1 | import os 2 | os.environ['CUDA_VISIBLE_DEVICES']='5' 3 | import audio_utils 4 | import librosa 5 | import params 6 | import matplotlib.pyplot as plt 7 | import tensorflow as tf 8 | import tqdm 9 | import numpy as np 10 | 11 | 12 | gt_paths = '/nas/home/lcomanducci/music_txt/dataset/music_star_test' 13 | normalize_gt_tracks = False 14 | if normalize_gt_tracks: 15 | gt_paths_tracks = tf.io.gfile.glob(gt_paths+'/*.wav') 16 | for i in tqdm.tqdm(range(len(gt_paths_tracks))): 17 | gt_track, sr = librosa.load(path=gt_paths_tracks[i],sr=params.SAMPLE_RATE) 18 | gt_track = audio_utils.normalize_audio(gt_track) 19 | audio_encoded = tf.audio.encode_wav( 20 | tf.expand_dims(gt_track,axis=1), params.SAMPLE_RATE, name=None 21 | ) 22 | write_file_op = tf.io.write_file(gt_paths_tracks[i], audio_encoded) 23 | 24 | model_type = ['separate_model_individual_tracks', 'separate_model','mixture_model'] 25 | model_selected_idx = 0 26 | diff_paths = os.path.join('/nas/home/lcomanducci/music_txt/eval/est_diffusion',model_type[model_selected_idx]) 27 | music_star_paths = os.path.join('/nas/home/lcomanducci/music_txt/eval/est_music_net',model_type[model_selected_idx]) 28 | 29 | 30 | normalize_music_star_tracks = False 31 | if normalize_gt_tracks: 32 | for m in range(len(model_type)): 33 | music_star_paths_tracks = tf.io.gfile.glob(os.path.join('/nas/home/lcomanducci/music_txt/eval/est_music_net',model_type[m])+'/*.wav') 34 | for i in tqdm.tqdm(range(len(music_star_paths_tracks))): 35 | music_star_track, sr = librosa.load(path=music_star_paths_tracks[i], sr=params.SAMPLE_RATE) 36 | music_star_track = audio_utils.normalize_audio(music_star_track) 37 | audio_encoded = tf.audio.encode_wav( 38 | tf.expand_dims(music_star_track, axis=1), params.SAMPLE_RATE, name=None 39 | ) 40 | write_file_op = tf.io.write_file(music_star_paths_tracks[i], audio_encoded) 41 | 42 | 43 | 44 | gt_track, sr = librosa.load(path=os.path.join(gt_paths,'010.1.wav'),sr=params.SAMPLE_RATE) 45 | diff_track, sr = librosa.load(path=os.path.join(diff_paths,'010.1.wav'),sr=params.SAMPLE_RATE) 46 | music_star_track, sr = librosa.load(path=os.path.join(music_star_paths,'010.1_0.wav'),sr=params.SAMPLE_RATE) 47 | 48 | 49 | #gt_track = audio_utils.normalize_audio(gt_track) 50 | #diff_track = audio_utils.normalize_audio(diff_track) 51 | #music_star_track = audio_utils.normalize_audio(music_star_track) 52 | 53 | print(str(gt_track.shape)) 54 | print(str(diff_track.shape)) 55 | print(str(music_star_track.shape)) 56 | 57 | 58 | plt.figure() 59 | plt.subplot(311) 60 | plt.plot(gt_track) 61 | plt.subplot(312) 62 | plt.plot(diff_track) 63 | plt.subplot(313) 64 | plt.plot(music_star_track) 65 | plt.show() 66 | 67 | import numpy as np 68 | conditions = ['C1','C2'] 69 | n_conditions = 8 70 | for n in range(n_conditions): 71 | idxs = np.random.choice(2, 2,replace=False) 72 | print(conditions[idxs[0]]+' '+conditions[idxs[1]]) 73 | 74 | 75 | 76 | # Up-mix tracks 77 | path = '/nas/home/lcomanducci/music_txt/009.0_music_net.wav' 78 | track, sr = librosa.load(path=path, sr=params.SAMPLE_RATE) 79 | track = audio_utils.normalize_audio(track) 80 | track = np.concatenate([np.expand_dims(track,axis=-1),np.expand_dims(track,axis=-1)],axis=-1) 81 | audio_encoded = tf.audio.encode_wav( 82 | track, params.SAMPLE_RATE, name=None 83 | ) 84 | write_file_op = tf.io.write_file(path, audio_encoded) 85 | 86 | folder_names = ['part_1','part_2'] 87 | for i in range(len(folder_names)): 88 | paths_tracks = tf.io.gfile.glob(os.path.join('/nas/home/lcomanducci/music_txt/resources/audio/timbre_transfer', folder_names[i]) + '/*.wav') 89 | for t in range(len(paths_tracks)): 90 | path = paths_tracks[t] 91 | track, sr = librosa.load(path=path, sr=params.SAMPLE_RATE) 92 | track = audio_utils.normalize_audio(track) 93 | plt.plot(track) 94 | plt.show() 95 | track = np.concatenate([np.expand_dims(track, axis=-1), np.expand_dims(track, axis=-1)], axis=-1) 96 | # music_star_track = audio_utils.normalize_audio(path) 97 | audio_encoded = tf.audio.encode_wav( 98 | track, params.SAMPLE_RATE, name=None 99 | ) 100 | write_file_op = tf.io.write_file(path, audio_encoded) 101 | print('done') 102 | 103 | --------------------------------------------------------------------------------