├── README.md ├── audio_processing.py ├── figures ├── enc_dec_align.JPG ├── gate_out.JPG ├── melspec.JPG ├── train_bce_loss.JPG ├── train_guide_loss.JPG ├── train_mel_loss.JPG ├── val_bce_loss.JPG ├── val_guide_loss.JPG └── val_mel_loss.JPG ├── filelists ├── ljs_audio_text_test_filelist.txt ├── ljs_audio_text_train_filelist.txt └── ljs_audio_text_val_filelist.txt ├── generate_samples.ipynb ├── hparams.py ├── index.html ├── inference.ipynb ├── layers.py ├── modules ├── __pycache__ │ ├── init_layer.cpython-37.pyc │ ├── loss.cpython-37.pyc │ ├── model.cpython-37.pyc │ └── transformer.cpython-37.pyc ├── init_layer.py ├── loss.py ├── model.py └── transformer.py ├── prepare_data.ipynb ├── stft.py ├── text ├── LICENSE ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ ├── __init__.cpython-37.pyc │ ├── cleaners.cpython-36.pyc │ ├── cleaners.cpython-37.pyc │ ├── cmudict.cpython-37.pyc │ ├── numbers.cpython-37.pyc │ └── symbols.cpython-37.pyc ├── cleaners.py ├── cmudict.py ├── numbers.py └── symbols.py ├── train-gae.py ├── train-graphtts.py ├── train.py ├── utils ├── __pycache__ │ ├── data_utils.cpython-37.pyc │ ├── plot_image.cpython-37.pyc │ ├── utils.cpython-37.pyc │ └── writer.cpython-37.pyc ├── data_utils.py ├── plot_image.py ├── utils.py └── writer.py ├── waveglow ├── .gitmodules ├── LICENSE ├── README.md ├── config.json ├── convert_model.py ├── denoiser.py ├── distributed.py ├── glow.py ├── glow_old.py ├── inference.py ├── mel2samp.py ├── requirements.txt ├── train.py └── waveglow_logo.png └── wavs ├── gae-char ├── LJ001-0029_char100000.wav ├── LJ001-0029_char20000.wav ├── LJ001-0029_char200000.wav ├── LJ001-0029_char50000.wav ├── LJ001-0085_char100000.wav ├── LJ001-0085_char20000.wav ├── LJ001-0085_char200000.wav ├── LJ001-0085_char50000.wav ├── LJ002-0106_char100000.wav ├── LJ002-0106_char20000.wav ├── LJ002-0106_char200000.wav └── LJ002-0106_char50000.wav ├── graph-tts-char ├── LJ001-0029_char100000.wav ├── LJ001-0029_char20000.wav ├── LJ001-0029_char200000.wav ├── LJ001-0029_char50000.wav ├── LJ001-0085_char100000.wav ├── LJ001-0085_char20000.wav ├── LJ001-0085_char200000.wav ├── LJ001-0085_char50000.wav ├── LJ002-0106_char100000.wav ├── LJ002-0106_char20000.wav ├── LJ002-0106_char200000.wav └── LJ002-0106_char50000.wav └── graph-tts-char_iter5 ├── LJ001-0029_char100000.wav ├── LJ001-0029_char20000.wav ├── LJ001-0029_char200000.wav ├── LJ001-0029_char50000.wav ├── LJ001-0085_char100000.wav ├── LJ001-0085_char20000.wav ├── LJ001-0085_char200000.wav ├── LJ001-0085_char50000.wav ├── LJ002-0106_char100000.wav ├── LJ002-0106_char20000.wav ├── LJ002-0106_char200000.wav └── LJ002-0106_char50000.wav /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LEEYOONHYUNG/GraphTTS/HEAD/README.md -------------------------------------------------------------------------------- /audio_processing.py: 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