├── .gitignore ├── LICENSE.txt ├── README.md ├── checkpoint └── SPEECH_VQVAE │ ├── 2022-12-15 │ └── 19-45 │ │ ├── model_checkpoint │ │ ├── model_table.csv │ │ └── variable_speech_vqvae.txt │ ├── 2022-12-24 │ └── 23-42 │ │ ├── model_checkpoint │ │ ├── model_table.csv │ │ └── variable_speech_vqvae.txt │ └── 2022-12-27 │ └── 21-42 │ ├── model_checkpoint │ ├── model_table.csv │ └── variable_speech_vqvae.txt ├── classification_speaker_dependent.py ├── classification_speaker_independent.py ├── config_mae ├── config.yaml ├── dataset │ └── default.yaml ├── model │ └── default.yaml └── vqvae │ └── default.yaml ├── config_specmae ├── config.yaml ├── dataset │ └── default.yaml ├── model │ └── default.yaml └── vqvae │ └── default.yaml ├── config_speech_vqvae ├── config.yaml ├── dataset │ └── default.yaml └── model │ └── default.yaml ├── images ├── overview.svg ├── overview_.pdf ├── overview_.svg ├── step-1.pdf ├── step-1.svg ├── step-2.pdf └── step-2.svg ├── pretrain_speech_vqvae.py ├── requirements.txt ├── test_VQVAE.py ├── training_vqmae.py └── vqmae ├── __init__.py └── vqmae ├── __init__.py ├── base ├── __init__.py └── train.py ├── data ├── __init__.py ├── base.py ├── dataset_voxceleb.py ├── finetuning │ ├── __init__.py │ ├── dataset_evaluation.py │ ├── dataset_evaluation_speaker_dependent.py │ └── ravdess.py ├── h5_creation.py └── voxceleb.py ├── model ├── __init__.py ├── classifier.py ├── masked_autoencoder.py ├── masked_autoencoder_spec.py ├── masking │ ├── __init__.py │ ├── horizontal.py │ ├── mosaic.py │ ├── random_.py │ └── vertical.py ├── query2label.py └── speech │ ├── Encoder_Decoder.py │ ├── Vector_Quantizer.py │ ├── Vector_Quantizer_EMA.py │ ├── __init__.py │ └── a_vq_vae.py ├── pretrain ├── __init__.py ├── pretrain_classifier │ ├── __init__.py │ ├── asymmetric_loss.py │ ├── follow_up_classifier.py │ └── train.py ├── pretrain_mae.zip ├── pretrain_mae │ ├── __init__.py │ ├── follow_up_mae.py │ ├── idr_torch.py │ └── train.py ├── pretrain_specmae │ ├── 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