├── .gitignore ├── README.md ├── aishell_pre.py ├── attend.py ├── attentions.py ├── bv2.py ├── codec_test.py ├── commons.py ├── config.json ├── dataset.py ├── init.sh ├── lexicons ├── librispeech-lexicon.txt └── pinyin-lexicon-r.txt ├── losses.py ├── model.py ├── model2.py ├── model3.py ├── modules.py ├── monotonic_align ├── __init__.py └── core.py ├── operations.py ├── output └── output_here ├── parametrizations.py ├── parametrize.py ├── preprocess.py ├── raw └── input_here ├── sampler ├── dpm_solver.py └── uni_pc.py ├── test.py ├── text ├── __init__.py ├── chinese.py ├── chinese_bert.py ├── cleaner.py ├── cmudict.rep ├── cmudict_cache.pickle ├── english.py ├── english_bert_mock.py ├── japanese.py ├── opencpop-strict.txt ├── symbols.py └── tone_sandhi.py ├── train.py ├── transforms.py ├── tts_infer.py ├── unet1d ├── __init__.py ├── activations.py ├── attention.py ├── attention_processor.py ├── dual_transformer_1d.py ├── embeddings.py ├── lora.py ├── outputs.py ├── resnet.py ├── 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