├── .DS_Store ├── .gitignore ├── LICENSE ├── Makefile ├── README.md ├── commands.sh ├── configs ├── __init__.py ├── callbacks │ ├── default.yaml │ ├── early_stopping.yaml │ ├── f0_regression.yaml │ ├── flava_text.yaml │ ├── model_checkpoint.yaml │ ├── model_summary.yaml │ ├── none.yaml │ ├── prominence_classification.yaml │ ├── prominence_regression.yaml │ ├── rich_progress_bar.yaml │ ├── store_test_data.yaml │ └── wav2vec2.yaml ├── data │ ├── duration_regression.yaml │ ├── energy_regression.yaml │ ├── f0_encoding.yaml │ ├── f0_regression.yaml │ ├── flava_text.yaml │ ├── mnist.yaml │ ├── pause_regression.yaml │ ├── prominence_classification.yaml │ ├── prominence_regression.yaml │ ├── wav2vec2_ps.yaml │ └── whisbert.yaml ├── debug │ ├── default.yaml │ ├── fdr.yaml │ ├── full_data.yaml │ ├── limit.yaml │ ├── limit_but_log.yaml │ ├── limit_large.yaml │ ├── overfit.yaml │ └── profiler.yaml ├── eval.yaml ├── experiment │ ├── _old │ │ ├── break_regression_before_bert.yaml │ │ ├── duration_regression_absolute_bert.yaml │ │ ├── duration_regression_absolute_bert_uncased.yaml │ │ ├── duration_regression_absolute_gpt2.yaml │ │ ├── duration_regression_absolute_gpt2_large.yaml │ │ ├── duration_regression_absolute_gpt2_medium.yaml │ │ ├── duration_regression_scaled_gpt2.yaml │ │ ├── f0_encoding_lstm.yaml │ │ ├── f0_regression_absolute_bert.yaml │ │ ├── f0_regression_absolute_gpt2.yaml │ │ ├── prominence_classification_2_gpt2.yaml │ │ ├── prominence_regression_absolute_bert.yaml │ │ ├── prominence_regression_absolute_bert_large.yaml │ │ ├── prominence_regression_absolute_bert_uncased.yaml │ │ ├── prominence_regression_absolute_deberta_v2_xxl.yaml │ │ ├── prominence_regression_absolute_gpt2.yaml │ │ ├── prominence_regression_absolute_gpt2_large.yaml │ │ ├── prominence_regression_absolute_gpt2_medium.yaml │ │ ├── prominence_regression_absolute_gpt2_xl.yaml │ │ ├── prominence_regression_relative_bert.yaml │ │ ├── prominence_regression_relative_bert_large.yaml │ │ ├── prominence_regression_relative_gpt2.yaml │ │ ├── prominence_regression_relative_gpt2_large.yaml │ │ ├── prominence_regression_relative_gpt2_medium.yaml │ │ ├── prominence_regression_relative_gpt2_xl.yaml │ │ ├── prominence_regression_relative_to_mean_bert.yaml │ │ ├── prominence_regression_relative_to_mean_gpt2.yaml │ │ ├── prominence_regression_relative_to_mean_gpt2_large.yaml │ │ ├── prominence_regression_relative_to_mean_gpt2_medium.yaml │ │ └── prominence_regression_relative_to_mean_gpt2_xl.yaml │ ├── babylm │ │ ├── bert_text_ps.yaml │ │ ├── bert_text_ps_pre.yaml │ │ ├── flava_text_libritts.yaml │ │ ├── flava_text_pre_libritts.yaml │ │ ├── flava_text_pre_ps.yaml │ │ ├── flava_text_ps.yaml │ │ ├── wav2vec2_ps.yaml │ │ ├── wav2vec2_ps_pre.yaml │ │ ├── whisbert_audio.yaml │ │ ├── whisbert_multi.yaml │ │ ├── whisbert_multi_unmatched.yaml │ │ ├── whisbert_text.yaml │ │ └── whisbert_uni.yaml │ ├── emnlp │ │ └── finetuning │ │ │ ├── duration_regression_abs_bert.yaml │ │ │ ├── duration_regression_abs_gpt2.yaml │ │ │ ├── duration_regression_abs_gpt2_xl.yaml │ │ │ ├── duration_regression_char_bert.yaml │ │ │ ├── duration_regression_char_bert_large.yaml │ │ │ ├── duration_regression_char_deberta_v2_xxl.yaml │ │ │ ├── duration_regression_char_gpt2.yaml │ │ │ ├── duration_regression_char_gpt2_medium.yaml │ │ │ ├── duration_regression_syll_bert.yaml │ │ │ ├── duration_regression_syll_bert_large.yaml │ │ │ ├── duration_regression_syll_deberta.yaml │ │ │ ├── duration_regression_syll_gpt2.yaml │ │ │ ├── duration_regression_syll_gpt2_large.yaml │ │ │ ├── duration_regression_syll_gpt2_medium.yaml │ │ │ ├── duration_regression_syll_gpt2_xl.yaml │ │ │ ├── duration_regression_syll_roberta_large.yaml │ │ │ ├── energy_regression_bert.yaml │ │ │ ├── energy_regression_bert_large.yaml │ │ │ ├── energy_regression_deberta_v2_xxl.yaml │ │ │ ├── energy_regression_gpt2.yaml │ │ │ ├── energy_regression_gpt2_large.yaml │ │ │ ├── energy_regression_gpt2_medium.yaml │ │ │ ├── energy_regression_gpt2_xl.yaml │ │ │ ├── energy_regression_roberta_large.yaml │ │ │ ├── f0_regression_dct_16_roberta_large.yaml │ │ │ ├── f0_regression_dct_2_bert.yaml │ │ │ ├── f0_regression_dct_2_roberta_large.yaml │ │ │ ├── f0_regression_dct_4_bert.yaml │ │ │ ├── f0_regression_dct_4_bert_large.yaml │ │ │ ├── f0_regression_dct_4_gpt2.yaml │ │ │ ├── f0_regression_dct_4_gpt2_large.yaml │ │ │ ├── f0_regression_dct_4_gpt2_medium.yaml │ │ │ ├── f0_regression_dct_4_gpt2_xl.yaml │ │ │ ├── f0_regression_dct_4_roberta.yaml │ │ │ ├── f0_regression_dct_8_bert.yaml │ │ │ ├── f0_regression_dct_8_roberta_large.yaml │ │ │ ├── pause_regression_after_bert.yaml │ │ │ ├── pause_regression_after_bert_large.yaml │ │ │ ├── pause_regression_after_deberta_v2_xxl.yaml │ │ │ ├── pause_regression_after_gpt2.yaml │ │ │ ├── pause_regression_after_gpt2_large.yaml │ │ │ ├── pause_regression_after_gpt2_medium.yaml │ │ │ ├── pause_regression_after_gpt2_xl.yaml │ │ │ ├── pause_regression_after_roberta.yaml │ │ │ ├── prominence_regression_absolute_bert_gamma.yaml │ │ │ ├── prominence_regression_absolute_bert_large_mle.yaml │ │ │ ├── prominence_regression_absolute_bert_mle.yaml │ │ │ ├── prominence_regression_absolute_deberta_v2_xxl.yaml │ │ │ ├── prominence_regression_absolute_gpt2_large_mle.yaml │ │ │ ├── prominence_regression_absolute_gpt2_medium_mle.yaml │ │ │ ├── prominence_regression_absolute_gpt2_mle.yaml │ │ │ ├── prominence_regression_absolute_gpt2_xl.yaml │ │ │ ├── prominence_regression_absolute_llama_7B.yaml │ │ │ ├── prominence_regression_absolute_roberta_large.yaml │ │ │ ├── prominence_regression_relative_bert.yaml │ │ │ ├── prominence_regression_relative_bert_large.yaml │ │ │ ├── prominence_regression_relative_deberta_v2_xxl.yaml │ │ │ ├── prominence_regression_relative_gpt2.yaml │ │ │ ├── prominence_regression_relative_gpt2_large.yaml │ │ │ ├── prominence_regression_relative_gpt2_medium.yaml │ │ │ ├── prominence_regression_relative_gpt2_xl.yaml │ │ │ ├── prominence_regression_relative_llama_7B.yaml │ │ │ ├── prominence_regression_relative_roberta_large.yaml │ │ │ ├── prominence_regression_relative_to_mean_bert.yaml │ │ │ ├── prominence_regression_relative_to_mean_bert_large.yaml │ │ │ ├── prominence_regression_relative_to_mean_deberta_v2_xxl.yaml │ │ │ ├── prominence_regression_relative_to_mean_gpt2.yaml │ │ │ ├── prominence_regression_relative_to_mean_gpt2_large.yaml │ │ │ ├── prominence_regression_relative_to_mean_gpt2_medium.yaml │ │ │ ├── prominence_regression_relative_to_mean_gpt2_xl.yaml │ │ │ └── prominence_regression_relative_to_mean_roberta_large.yaml │ └── example.yaml ├── extras │ └── default.yaml ├── hparams_search │ ├── mnist_optuna.yaml │ ├── prominence_regression_absolute_bert.yaml │ └── prominence_regression_absolute_gpt2.yaml ├── hydra │ └── default.yaml ├── local │ └── .gitkeep ├── logger │ ├── aim.yaml │ ├── comet.yaml │ ├── csv.yaml │ ├── many_loggers.yaml │ ├── many_loggers_ddp.yaml │ ├── mlflow.yaml │ ├── neptune.yaml │ ├── tensorboard.yaml │ └── wandb.yaml ├── model_lm │ ├── bert.yaml │ └── gpt2.yaml ├── model_task │ ├── bert_text.yaml │ ├── flava_text.yaml │ ├── mnist.yaml │ ├── reconstruction_module.yaml │ ├── token_tagging_classifier.yaml │ ├── token_tagging_regressor.yaml │ ├── token_tagging_regressor_llama_mle.yaml │ ├── token_tagging_regressor_mle.yaml │ ├── token_tagging_regressor_pause_mle.yaml │ ├── token_tagging_regressor_prominence.yaml │ ├── token_tagging_vector_regressor_mle.yaml │ ├── wav2vec2.yaml │ └── whisbert.yaml ├── paths │ ├── default.yaml │ └── prominence_reg.yaml ├── tokenizer │ └── default_gpt2_tokenizer.yaml ├── train.yaml └── trainer │ ├── cpu.yaml │ ├── ddp.yaml │ ├── ddp_sim.yaml │ ├── default.yaml │ ├── gpu.yaml │ └── mps.yaml ├── data ├── .DS_Store └── .gitkeep ├── environment.yaml ├── logs ├── .DS_Store └── .gitkeep ├── notebooks ├── .DS_Store ├── .gitkeep ├── babyLM │ ├── ast.ipynb │ ├── bert.ipynb │ ├── copy_files.py │ ├── copy_files_from_mapping.py │ ├── create_mapping.py │ ├── create_mapping_audio2text.py │ ├── extract_bert_whisper.py │ ├── flava_playground.ipynb │ ├── load_model.py │ ├── losses.ipynb │ ├── losses.png │ ├── mam_losses.png │ ├── mlm_losses.png │ ├── peoples_speech_data.ipynb │ ├── prosody_transformer.ipynb │ ├── ps_data_prep.ipynb │ ├── scratch.ipynb │ ├── visualization.ipynb │ ├── visualization.py │ ├── vit.ipynb │ ├── wav2vec.ipynb │ ├── wav2vec.py │ └── whisper.ipynb ├── duration │ ├── duration_analysis.ipynb │ ├── duration_baselines.ipynb │ └── duration_extraction.ipynb ├── emnlp_entropies_baselines │ ├── .gitignore │ ├── _prominence_rel_mean.ipynb │ ├── _prominence_rel_prev.ipynb │ ├── absolute_prominence.ipynb │ ├── duration_syll.ipynb │ ├── energy.ipynb │ ├── energy.py │ ├── f0.ipynb │ ├── pause.ipynb │ ├── relative_mean_prominence.ipynb │ └── relative_prev_prominence.ipynb ├── emnlp_plots │ ├── entropy_mi.ipynb │ ├── entropy_surprisal.ipynb │ ├── mi_r2_figures.ipynb │ └── results.csv ├── f0 │ ├── f0_fourier_wavelet.ipynb │ ├── lstm_analysis.ipynb │ └── lstm_autoencoder.ipynb ├── pre-babyLM │ ├── fasttext.ipynb │ ├── gigaspeech.ipynb │ ├── helsinki_baselines.ipynb │ ├── helsinki_extraction.ipynb │ ├── helsinki_extractor_playground.ipynb │ ├── helsinki_glove_regression.ipynb │ ├── helsinki_stats_and_errors.ipynb │ ├── lm_uncertainty_vs_duration.ipynb │ ├── lm_uncertainty_vs_prominence.ipynb │ ├── load_llama.ipynb │ ├── mfa_alignment.ipynb │ ├── model_analysis.ipynb │ ├── model_playground.ipynb │ ├── model_size_plots.ipynb │ ├── prosody_extractor_test.ipynb │ ├── scratch.ipynb │ ├── syllables_and_pronounciation.ipynb │ ├── tokenizer_playground.ipynb │ └── trucasing.ipynb ├── probing │ └── prominence_pretrained.ipynb ├── prominence │ ├── error_analysis_abs.ipynb │ ├── error_analysis_rel.ipynb │ ├── error_analysis_rel_to_mean.ipynb │ └── error_plots.ipynb ├── word_to_stats_cased.csv ├── word_to_stats_unased.csv └── word_to_stats_uncased.csv ├── pyproject.toml ├── requirements.txt ├── scripts ├── _old │ ├── duration_regression_absolute_gpt2.sh │ ├── f0_encoding_lstm.sh │ ├── f0_regression_absolute_bert.sh │ ├── f0_regression_absolute_gpt2.sh │ ├── prominence_regression_absolute_bert.sh │ ├── prominence_regression_absolute_bert_large.sh │ ├── prominence_regression_absolute_bert_uncased.sh │ ├── prominence_regression_absolute_deberta_v2_xxl.sh │ ├── prominence_regression_absolute_gpt2.sh │ ├── prominence_regression_absolute_gpt2_medium.sh │ ├── prominence_regression_absolute_gpt2_xl.sh │ ├── prominence_regression_relative_bert.sh │ ├── prominence_regression_relative_bert_large.sh │ ├── prominence_regression_relative_gpt2.sh │ ├── prominence_regression_relative_gpt2_large.sh │ ├── prominence_regression_relative_gpt2_medium.sh │ ├── prominence_regression_relative_gpt2_xl.sh │ ├── prominence_regression_relative_to_mean_bert.sh │ ├── prominence_regression_relative_to_mean_gpt2.sh │ ├── prominence_regression_relative_to_mean_gpt2_large.sh │ ├── prominence_regression_relative_to_mean_gpt2_medium.sh │ ├── prominence_regression_relative_to_mean_gpt2_xl.sh │ └── schedule.sh ├── babylm │ ├── bert_text.sh │ ├── continue.sh │ ├── continue_multi.sh │ ├── continue_multi_unmatched.sh │ ├── continue_text.sh │ ├── flava_text.sh │ ├── flava_text_pre.sh │ ├── wav2vec2.sh │ ├── whisbert_audio.sh │ ├── whisbert_multi.sh │ ├── whisbert_multi_unmatched.sh │ ├── whisbert_text.sh │ └── whisbert_uni.sh ├── data_prep │ └── prepare_packs.py └── emnlp │ ├── baselines │ ├── duration_syll_fasttext.sh │ ├── duration_syll_glove.sh │ ├── energy_fasttext.sh │ ├── energy_glove.sh │ ├── f0_dct_4_fasttext.sh │ ├── f0_dct_4_glove.sh │ ├── pause_fasttext.sh │ ├── pause_glove.sh │ ├── prominence_absolute_fasttext.sh │ ├── prominence_absolute_glove.sh │ ├── prominence_relative_mean_fasttext.sh │ ├── prominence_relative_mean_glove.sh │ ├── prominence_relative_prev_fasttext.sh │ └── prominence_relative_prev_glove.sh │ └── finetuning │ ├── duration_regression_abs_bert.sh │ ├── duration_regression_abs_gpt2.sh │ ├── duration_regression_char_bert.sh │ ├── duration_regression_char_bert_large.sh │ ├── duration_regression_char_deberta_v2.sh │ ├── duration_regression_char_gpt2.sh │ ├── duration_regression_char_gpt2_medium.sh │ ├── duration_regression_syll_bert.sh │ ├── duration_regression_syll_bert_large.sh │ ├── duration_regression_syll_deberta.sh │ ├── duration_regression_syll_gpt2.sh │ ├── duration_regression_syll_gpt2_large.sh │ ├── duration_regression_syll_gpt2_medium.sh │ ├── duration_regression_syll_gpt2_xl.sh │ ├── duration_regression_syll_roberta_large.sh │ ├── energy_regression_bert.sh │ ├── energy_regression_bert_large.sh │ ├── energy_regression_deberta.sh │ ├── energy_regression_gpt2.sh │ ├── energy_regression_gpt2_large.sh │ ├── energy_regression_gpt2_medium.sh │ ├── energy_regression_gpt2_xl.sh │ ├── energy_regression_roberta_large.sh │ ├── f0_regression_dct_2_bert.sh │ ├── f0_regression_dct_4_bert.sh │ ├── f0_regression_dct_4_bert_large.sh │ ├── f0_regression_dct_4_gpt2.sh │ ├── f0_regression_dct_4_gpt2_large.sh │ ├── f0_regression_dct_4_gpt2_medium.sh │ ├── f0_regression_dct_4_gpt2_xl.sh │ ├── f0_regression_dct_4_roberta.sh │ ├── f0_regression_dct_8_bert.sh │ ├── pause_regression_bert.sh │ ├── pause_regression_bert_large.sh │ ├── pause_regression_deberta.sh │ ├── pause_regression_gpt2.sh │ ├── pause_regression_gpt2_large.sh │ ├── pause_regression_gpt2_medium.sh │ ├── pause_regression_gpt2_xl.sh │ ├── pause_regression_roberta_large.sh │ ├── prominence_regression_absolute_bert_large_mle.sh │ ├── prominence_regression_absolute_bert_mle.sh │ ├── prominence_regression_absolute_deberta_v2_xxl.sh │ ├── prominence_regression_absolute_gpt2_large_mle.sh │ ├── prominence_regression_absolute_gpt2_medium_mle.sh │ ├── prominence_regression_absolute_gpt2_mle.sh │ ├── prominence_regression_absolute_gpt2_xl.sh │ ├── prominence_regression_absolute_roberta_large.sh │ ├── prominence_regression_relative_bert.sh │ ├── prominence_regression_relative_bert_large.sh │ ├── prominence_regression_relative_deberta_v2_xxl.sh │ ├── prominence_regression_relative_gpt2.sh │ ├── prominence_regression_relative_gpt2_large.sh │ ├── prominence_regression_relative_gpt2_medium.sh │ ├── prominence_regression_relative_gpt2_xl.sh │ ├── prominence_regression_relative_roberta_large.sh │ ├── prominence_regression_relative_to_mean_bert.sh │ ├── prominence_regression_relative_to_mean_bert_large.sh │ ├── prominence_regression_relative_to_mean_deberta_v2_xxl.sh │ ├── prominence_regression_relative_to_mean_gpt2.sh │ ├── prominence_regression_relative_to_mean_gpt2_large.sh │ ├── prominence_regression_relative_to_mean_gpt2_medium.sh │ ├── prominence_regression_relative_to_mean_gpt2_xl.sh │ └── prominence_regression_relative_to_mean_roberta.sh ├── setup.py ├── src ├── .DS_Store ├── __init__.py ├── callbacks │ ├── __init__.py │ ├── test_callbacks.py │ └── wandb_callbacks.py ├── data │ ├── .DS_Store │ ├── __init__.py │ ├── _break_regression_datamodule.py │ ├── _f0_regression_datamodule.py │ ├── ast_audio_datamodule.py │ ├── components │ │ ├── __init__.py │ │ ├── collators.py │ │ ├── datasets.py │ │ ├── feature_extractors.py │ │ ├── helsinki.py │ │ └── helsinki_dataset.py │ ├── duration_regression_datamodule.py │ ├── energy_regression_datamodule.py │ ├── f0_encoding_datamodule.py │ ├── f0_regression_datamodule.py │ ├── flava_text_datamodule.py │ ├── helsinki_datamodule.py │ ├── mnist_datamodule.py │ ├── pause_regression_datamodule.py │ ├── prominence_classification_datamodule.py │ ├── prominence_regression_datamodule.py │ ├── wav2vec2_datamodule.py │ └── whisbert_datamodule.py ├── eval.py ├── models │ ├── .DS_Store │ ├── __init__.py │ ├── ast_audio_model.py │ ├── baselines │ │ ├── GloVe.py │ │ ├── control_function.py │ │ ├── datasets.py │ │ ├── dummy_models.py │ │ ├── fastText.py │ │ ├── mlp.py │ │ ├── train.py │ │ ├── train_gamma.py │ │ ├── train_pause.py │ │ ├── train_vector copy.py │ │ ├── train_vector.py │ │ └── utils.py │ ├── bert_prosody_multimodal_model.py │ ├── bert_text_model.py │ ├── bert_whisper_multimodal_model.py │ ├── components │ │ ├── __init__.py │ │ ├── ast_reconstruction.py │ │ ├── encoders.py │ │ ├── seq2_autoencoder.py │ │ └── simple_dense_net.py │ ├── flava_text_model.py │ ├── helsinki_models.py │ ├── load_bert_whisper_multimodal_model.py │ ├── mnist_module.py │ ├── reconstruction_module.py │ ├── token_tagging_classifier.py │ ├── token_tagging_regressor.py │ ├── token_tagging_regressor_energy.py │ ├── token_tagging_regressor_llama_mle.py │ ├── token_tagging_regressor_mle.py │ ├── token_tagging_regressor_pause_mle.py │ ├── token_tagging_regressor_prominence.py │ ├── token_tagging_vector_regressor_mle.py │ └── wav2vec2.py ├── tokenizer │ ├── __init__.py │ ├── tokenizer-trained-babylm_100M │ │ ├── special_tokens_map.json │ │ ├── tokenizer.json │ │ ├── tokenizer_config.json │ │ └── vocab.txt │ ├── tokenizer_ps_10M │ │ ├── special_tokens_map.json │ │ ├── tokenizer.json │ │ ├── tokenizer_config.json │ │ └── vocab.txt │ ├── train_tokenizer.ipynb │ └── train_tokenizer.py ├── train.py └── utils │ ├── .DS_Store │ ├── __init__.py │ ├── analysis.py │ ├── approximation.py │ ├── audio_utils.py │ ├── freq_transforms.py │ ├── helsinki_features.py │ ├── hf_utils.py │ ├── instantiators.py │ ├── logging_utils.py │ ├── plots.py │ ├── pos_map.py │ ├── prosody_tools │ ├── __init__.py │ ├── cwt_analysis_synthesis.py │ ├── cwt_global_spectrum.py │ ├── cwt_utils.py │ ├── duration_processing.py │ ├── energy_processing.py │ ├── f0_processing.py │ ├── filter.py │ ├── lab.py │ ├── loma.py │ ├── misc.py │ ├── pitch_tracker.py │ ├── prosody_labeller.py │ └── smooth_and_interp.py │ ├── pylogger.py │ ├── rich_utils.py │ ├── stats.py │ ├── text_processing.py │ ├── tokenizers.py │ ├── torch_metrics.py │ ├── torch_utils.py │ └── utils.py └── tests ├── __init__.py ├── conftest.py ├── helpers ├── __init__.py ├── package_available.py ├── run_if.py └── run_sh_command.py ├── test_configs.py ├── test_datamodules.py ├── test_eval.py ├── test_metrics.py ├── test_sweeps.py └── test_train.py /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lu-wo/whisbert/HEAD/.DS_Store -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lu-wo/whisbert/HEAD/.gitignore -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lu-wo/whisbert/HEAD/LICENSE -------------------------------------------------------------------------------- /Makefile: -------------------------------------------------------------------------------- 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