├── .gitignore ├── .gitmodules ├── CODE_OF_CONDUCT.md ├── LICENSE ├── README.md ├── SECURITY.md ├── Speech2C ├── README.md └── speech2c │ ├── __init__.py │ ├── config │ ├── base_100h.yaml │ ├── base_10h.yaml │ └── speech2c_base_librispeech.yaml │ ├── criterions │ ├── __init__.py │ ├── ctc_ce.py │ └── speech2c_criterion.py │ ├── data │ └── speech2c_dataset.py │ ├── models │ ├── modules │ │ ├── ctc_prefix_score.py │ │ ├── multihead_attention.py │ │ ├── relative_pos_enc.py │ │ ├── transformer_decoder.py │ │ ├── transformer_decoder_layer.py │ │ └── transformer_encoder.py │ ├── speech2c.py │ ├── speech2c_asr.py │ └── t5_transformer_lm.py │ ├── squence_generator.py │ └── tasks │ └── speech2c_pretraining.py ├── Speech2S ├── README.md └── speech2s │ ├── __init__.py │ ├── config │ ├── finetune_asr │ │ ├── speechut_base_100h.yaml │ │ ├── speechut_large_100h.yaml │ │ └── speechut_large_960h.yaml │ └── pretrain │ │ ├── speechut_base_librispeech.yaml │ │ └── speechut_large_librilight.yaml │ ├── criterions │ ├── __init__.py │ ├── ctc_ce.py │ └── speechut_criterion.py │ ├── data │ ├── concat_dataset.py │ ├── hubert_dataset.py │ ├── language_trible_dataset.py │ ├── load_langpair_dataset.py │ └── multimodal_corpus_dataset.py │ ├── models │ ├── __init__.py │ ├── speechut.py │ ├── speechut_asr.py │ ├── speechut_st.py │ └── t5_transformer_lm.py │ ├── modules │ ├── __init__.py │ ├── ctc_prefix_score.py │ ├── learned_positional_embedding.py │ ├── multihead_attention.py │ ├── relative_pos_enc.py │ ├── transformer_decoder.py │ ├── transformer_encoder.py │ ├── transformer_layer.py │ └── w2v_encoder.py │ ├── scripts copy │ ├── pretrain_speechut │ │ ├── base_speechut_for_asr.sh │ │ ├── base_speechut_for_st.sh │ │ ├── base_speechut_for_st_enfr.sh │ │ └── large_speechut_for_asr.sh │ ├── tune_speechut_asr │ │ ├── finetune960h_large_edctc.sh │ │ ├── finetune_base_edctc.sh │ │ ├── inference_edctc.sh │ │ ├── inference_edctclm.sh │ │ ├── inference_lm_nj.sh │ │ └── inference_nj.sh │ └── tune_speechut_st │ │ ├── finetune_base_mustc_enxx.sh │ │ └── inference_st.sh │ ├── scripts │ ├── __init__.py │ ├── average_checkpoints.py │ ├── build_sym_alignment.py │ ├── compare_namespaces.py │ ├── compound_split_bleu.sh │ ├── constraints │ │ ├── extract.py │ │ └── validate.py │ ├── convert_dictionary.lua │ ├── convert_model.lua │ ├── count_docs.py │ ├── read_binarized.py │ ├── rm_pt.py │ ├── sacrebleu.sh │ ├── shard_docs.py │ ├── split_train_valid_docs.py │ ├── spm_decode.py │ ├── spm_encode.py │ ├── spm_train.py │ └── test_fsdp.sh │ ├── stpretrain_scripts │ ├── base_sc2c_enes.sh │ ├── base_sc2c_esen.sh │ ├── config.yaml │ ├── config │ │ ├── finetune_asr │ │ │ ├── base_100h.yaml │ │ │ └── large_960h.yaml │ │ ├── pretrain │ │ │ ├── mbart.yaml │ │ │ └── sc2t_base_librispeech.yaml │ │ └── translation │ │ │ └── text2code.yaml │ ├── config_mbart.yaml │ ├── data_process │ │ ├── extract_hubert_feature_itp.sh │ │ ├── merge_code.py │ │ ├── txt2idx.sh │ │ ├── txt2spm.sh │ │ └── wmt │ │ │ ├── normalize_en_text.py │ │ │ └── normalize_es_text.py │ ├── decode_text2code_beam2.sh │ ├── eval2.sh │ ├── eval3.sh │ ├── finetune_enes.sh │ ├── finetune_esen.sh │ ├── inference_ed.sh │ └── train_text2code │ │ ├── base_ReleaseIter2_text2unicode_from400k.sh │ │ ├── base_ReleaseIter2_text2unicode_from400k_es.sh │ │ ├── base_ReleaseIter2_text2unicode_from400k_es2.sh │ │ ├── decode_text2code.sh │ │ ├── decode_text2code_beam2.sh │ │ ├── inference_code_bleu.sh │ │ └── inference_code_wer.sh │ └── tasks │ └── joint_sc2t_pretrain.py ├── SpeechLM ├── README.md ├── SpeechLM.py ├── dataset │ ├── CommonVoice │ │ └── v4 │ │ │ └── en │ │ │ └── en-de │ │ │ ├── config_base_ende.yaml │ │ │ ├── config_large_ende.yaml │ │ │ ├── dev-sample100_st_en_de_local.tsv │ │ │ ├── spm_char_st_en_de.model │ │ │ ├── spm_char_st_en_de.txt │ │ │ └── spm_char_st_en_de.vocab │ ├── LibriLM │ │ ├── hidden_unit │ │ │ └── bin-idx │ │ │ │ ├── config.yaml │ │ │ │ ├── dict.km.txt │ │ │ │ └── dict.ltr.txt │ │ └── phone_unit │ │ │ └── bin-idx │ │ │ ├── config.yaml │ │ │ ├── dict.ltr.txt │ │ │ └── dict.phn.txt │ └── LibriSpeech │ │ ├── asr │ │ ├── dict.ltr.txt │ │ ├── train_sample100.ltr │ │ └── train_sample100.tsv │ │ ├── fast_phone2unit │ │ ├── config.yaml │ │ ├── config_generate.yaml │ │ ├── dict.PHN.txt │ │ ├── dict.km.txt │ │ ├── dict.phn.txt │ │ ├── genset_examples.tsv │ │ └── train_exmples.tsv │ │ ├── hidden_unit │ │ ├── dict.km.txt │ │ ├── train_sample100.km │ │ └── train_sample100.tsv │ │ └── phone_unit │ │ ├── dict.phn.txt │ │ ├── train_sample100.phn │ │ └── train_sample100.tsv ├── modules.py └── speechlm │ ├── __init__.py │ ├── config │ ├── decode │ │ ├── infer_fsqlm.yaml │ │ ├── infer_kenlm.yaml │ │ └── infer_viterbi.yaml │ ├── finetune │ │ ├── speechlm_base_100h.yaml │ │ └── speechlm_large_960h.yaml │ └── pretrain │ │ ├── speechlm_base_librispeech.yaml │ │ ├── speechlm_large_librilight.yaml │ │ └── speechlmp_base_cfg.pt │ ├── criterions │ ├── __init__.py │ ├── fasttext2unit_loss.py │ └── speechlm_criterion.py │ ├── data │ ├── concat_dataset.py │ ├── hubert_dataset.py │ ├── language_trible_dataset.py │ ├── load_langpair_dataset.py │ ├── multimodal_corpus_dataset.py │ └── text_to_unit_dataset.py │ ├── data_process │ ├── covost2 │ │ ├── mp3_to_wav.py │ │ └── prepare_covost_data.py │ ├── filter_paireddata_by_len.py │ ├── get_t2u_manifest.py │ ├── get_t2u_manifest_textonly.py │ ├── phoneize_with_sil.py │ ├── phoneme_tokenizer │ │ ├── ltr2kaldi_phn_sil025.py │ │ ├── mean5_and_std25_sil14_spn32.dict │ │ └── repeat_withou_insert_sil_less_4375.py │ ├── prepare_covost2_enxx.sh │ ├── prepare_phn2ltr_librilm.sh │ ├── txt2idx.sh │ └── wrd2ltr.py │ ├── generate_unit.py │ ├── infer.py │ ├── models │ ├── __init__.py │ ├── fasttext2unit.py │ ├── speechlm.py │ ├── speechlm_ctcasr.py │ └── speechlm_st.py │ ├── modules │ ├── __init__.py │ ├── learned_positional_embedding.py │ ├── multihead_attention.py │ ├── relative_pos_enc.py │ ├── transformer_decoder.py │ ├── transformer_encoder.py │ ├── transformer_layer.py │ └── w2v_encoder.py │ ├── scripts │ ├── pretrain_speechlm │ │ ├── base_speechlmh.sh │ │ ├── base_speechlmp.sh │ │ └── large_speechlmp.sh │ ├── tokenizer_fastT2U │ │ ├── generate.sh │ │ ├── infer.sh │ │ └── train_s_5e-4.sh │ ├── tune_speechlm_asr │ │ ├── finetune_base_ctc.sh │ │ ├── finetune_large_ctc.sh │ │ ├── inference_ctc.sh │ │ ├── inference_ctc_kenlm.sh │ │ ├── inference_ctc_large.sh │ │ └── inference_ctc_large_fsqlm.sh │ └── tune_speechlm_st │ │ ├── ft_base_covost_enxx.sh │ │ ├── ft_large_covost_enxx.sh │ │ ├── inference_base.sh │ │ └── inference_large.sh │ ├── tasks │ ├── fast_text_to_unit.py │ └── joint_sc2t_pretrain.py │ └── unit_generator.py ├── SpeechT5 ├── README.md ├── results │ ├── ablation_study.png │ ├── asr.png │ ├── se.png │ ├── sid.png │ ├── st.png │ ├── tts.png │ └── vc.png ├── scripts │ ├── generate_class.py │ └── generate_speech.py ├── speecht5 │ ├── __init__.py │ ├── criterions │ │ ├── __init__.py │ │ ├── speech_pretrain_criterion.py │ │ ├── speech_to_text_loss.py │ │ ├── speecht5_criterion.py │ │ ├── text_pretrain_criterion.py │ │ └── text_to_speech_loss.py │ ├── data │ │ ├── __init__.py │ │ ├── multitask_dataset.py │ │ ├── speech_dataset.py │ │ ├── speech_to_class_dataset.py │ │ ├── speech_to_speech_dataset.py │ │ ├── speech_to_text_dataset.py │ │ ├── text_dataset.py │ │ └── text_to_speech_dataset.py │ ├── models │ │ ├── __init__.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ ├── decoder.py │ │ │ ├── encoder.py │ │ │ ├── multihead_attention.py │ │ │ ├── speaker_decoder_postnet.py │ │ │ ├── speech_decoder_postnet.py │ │ │ ├── speech_decoder_prenet.py │ │ │ ├── speech_encoder_postnet.py │ │ │ ├── speech_encoder_prenet.py │ │ │ ├── text_decoder_postnet.py │ │ │ ├── text_decoder_prenet.py │ │ │ ├── text_encoder_prenet.py │ │ │ └── transformer_layer.py │ │ ├── speecht5.py │ │ └── t5_transformer_lm.py │ ├── sequence_generator.py │ └── tasks │ │ ├── __init__.py │ │ └── speecht5.py └── speecht5_framework.png ├── SpeechUT ├── README.md ├── dataset │ ├── LibriSpeech │ │ ├── dict.km.txt │ │ ├── dict.kmu.txt │ │ ├── dict.ltr.txt │ │ └── dict.txt │ └── MuSTC │ │ ├── dict.km.txt │ │ ├── dict.kmu.txt │ │ ├── en_de │ │ ├── config.yaml │ │ ├── config_ende.yaml │ │ ├── dict.kmu.txt │ │ ├── dict.spm.txt │ │ └── spm_unigram10000.model │ │ ├── en_es │ │ ├── config.yaml │ │ ├── config_enes.yaml │ │ ├── dict.kmu.txt │ │ ├── dict.spm.txt │ │ └── spm_unigram10000.model │ │ └── en_fr │ │ ├── config.yaml │ │ ├── config_enfr.yaml │ │ ├── dict.kmu.txt │ │ ├── dict.spm.txt │ │ └── spm_unigram10000.model └── speechut │ ├── __init__.py │ ├── config │ ├── finetune_asr │ │ ├── speechut_base_100h.yaml │ │ ├── speechut_large_100h.yaml │ │ └── speechut_large_960h.yaml │ └── pretrain │ │ ├── speechut_base_librispeech.yaml │ │ └── speechut_large_librilight.yaml │ ├── criterions │ ├── __init__.py │ ├── ctc_ce.py │ └── speechut_criterion.py │ ├── data │ ├── concat_dataset.py │ ├── hubert_dataset.py │ ├── language_trible_dataset.py │ ├── load_langpair_dataset.py │ └── multimodal_corpus_dataset.py │ ├── models │ ├── __init__.py │ ├── speechut.py │ ├── speechut_asr.py │ ├── speechut_st.py │ └── t5_transformer_lm.py │ ├── modules │ ├── __init__.py │ ├── ctc_prefix_score.py │ ├── learned_positional_embedding.py │ ├── multihead_attention.py │ ├── relative_pos_enc.py │ ├── transformer_decoder.py │ ├── transformer_encoder.py │ ├── transformer_layer.py │ └── w2v_encoder.py │ ├── scripts │ ├── pretrain_speechut │ │ ├── base_speechut_for_asr.sh │ │ ├── base_speechut_for_st.sh │ │ ├── base_speechut_for_st_enfr.sh │ │ └── large_speechut_for_asr.sh │ ├── tune_speechut_asr │ │ ├── finetune960h_large_edctc.sh │ │ ├── finetune_base_edctc.sh │ │ ├── inference_edctc.sh │ │ ├── inference_edctclm.sh │ │ ├── inference_lm_nj.sh │ │ └── inference_nj.sh │ └── tune_speechut_st │ │ ├── finetune_base_mustc_enxx.sh │ │ └── inference_st.sh │ ├── squence_generator.py │ └── tasks │ └── joint_sc2t_pretrain.py ├── VATLM ├── README.md └── vat_hubert │ ├── requirements.txt │ └── vathubert │ ├── __init__.py │ ├── conf │ ├── finetune │ │ ├── base_lrs3_30h_av.yaml │ │ ├── base_lrs3_30h_v.yaml │ │ ├── base_vox_30h_av.yaml │ │ ├── base_vox_30h_v.yaml │ │ ├── base_vox_433h_av.yaml │ │ ├── base_vox_433h_v.yaml │ │ ├── large_vox_30h_av.yaml │ │ ├── large_vox_30h_v.yaml │ │ ├── large_vox_433h_av.yaml │ │ └── large_vox_433h_v.yaml │ ├── pretrain │ │ ├── base_lrs3_iter5.yaml │ │ ├── base_vox_iter5.yaml │ │ └── large_vox_iter5.yaml │ └── s2s_decode.yaml │ ├── criterions │ ├── __init__.py │ └── vathubert_criterion.py │ ├── data │ ├── audiohubert_dataset.py │ ├── onlyaudiohubert_dataset.py │ ├── texthubert_dataset.py │ ├── utils.py │ └── vathubert_dataset.py │ ├── decode_avhubert_lrs3.sh │ ├── infer_s2s.py │ ├── models │ ├── decoder.py │ ├── resnet.py │ ├── utils.py │ ├── vathubert.py │ └── vathubert_asr.py │ ├── scripts │ ├── finetune_avsr │ │ ├── base_lrs3_finetune30_av.sh │ │ ├── base_vox_finetune30_av.sh │ │ ├── base_vox_finetune433_av.sh │ │ ├── large_vox_finetune30_av.sh │ │ └── large_vox_finetune433_av.sh │ ├── finetune_vsr │ │ ├── base_lrs3_finetune30_v.sh │ │ ├── base_vox_finetune30_v.sh │ │ ├── base_vox_finetune433_v.sh │ │ ├── large_vox_finetune30_v.sh │ │ └── large_vox_finetune433_v.sh │ └── pretrain │ │ ├── base_lsr3_pretrain_iter5.sh │ │ ├── base_vox_pretrain_iter5.sh │ │ └── large_vox_pretrain_iter5.sh │ ├── sequence_generator.py │ ├── tasks │ └── vathubert_pretraining.py │ └── utils.py ├── WavLLM ├── README.md ├── download │ └── download.sh └── wavllm │ ├── __init__.py │ ├── criterions │ └── cross_entropy_acc.py │ ├── data │ ├── speechllm_dataset.py │ └── tokenizer.py │ ├── inference │ ├── generate.py │ └── sequence_generator.py │ ├── models │ ├── llama.py │ ├── speechllm_model.py │ ├── wavlm.py │ └── whisper_encoder.py │ ├── modules │ └── convolution.py │ ├── requirements.txt │ ├── scripts │ └── inference_sft.sh │ ├── tasks │ └── speechllm_task.py │ ├── test_data │ ├── CoT-task-story.tsv │ ├── CoT-task.tsv │ ├── II-task.tsv │ ├── SQA.tsv │ ├── SQQA.tsv │ ├── asr.tsv │ ├── audio │ │ ├── CoT-task-story.wav │ │ ├── CoT-task.wav │ │ ├── II-task.wav │ │ ├── asr.flac │ │ ├── emo.wav │ │ ├── sqa.wav │ │ ├── sqqa.wav │ │ ├── st.flac │ │ └── sv.wav │ ├── dict.txt │ ├── emo.tsv │ ├── en2de.tsv │ ├── gaokao.tsv │ └── sv.tsv │ └── tokenizer │ └── tokenizer.model └── YiTrans ├── .gitignore ├── exp_scripts ├── finetune_ASR │ └── finetune_hubert24_mbart24_en.sh ├── finetune_MT │ └── finetune_mbart_en-de.sh ├── finetune_ST │ └── en-de │ │ └── jtst_pt36s2_mustc.sh └── pretrain │ ├── pretrain_pt36_adaptor_step1.sh │ └── pretrain_pt36_adaptor_step2.sh ├── readme.md └── yitrans_iwslt22 ├── __init__.py ├── config ├── finetune_asr │ └── large_mustc.yaml ├── finetune_mt │ └── mt_translation.yaml └── pretrain │ ├── joint_base.yaml │ └── joint_large.yaml ├── criterions ├── __init__.py ├── ctc_ce.py ├── joint_step1_criterion.py ├── joint_step1_split_batch_criterion.py └── joint_step2_criterion.py ├── data ├── concat_dataset.py ├── denoising_dataset.py ├── lang_pair_mask_dataset.py ├── load_langpair_dataset.py ├── multimodal_corpus_dataset.py └── speech2c_dataset.py ├── models ├── __init__.py ├── _hubert_mt.py ├── finetune_asr.py ├── finetune_mt.py ├── finetune_st.py ├── pretrain_ed.py └── pretrain_ed_step2.py ├── modules ├── __init__.py ├── multihead_attention.py ├── multimodal_transformer_decoder.py ├── relative_pos_enc.py ├── transformer_decoder.py ├── transformer_decoder_layer.py └── w2v_encoder.py ├── sequence_generator.py └── tasks ├── iwslt_joint_pretraining.py └── iwslt_translation_from_pretrain.py /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__/ -------------------------------------------------------------------------------- /.gitmodules: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/microsoft/SpeechT5/HEAD/.gitmodules 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