mirror of https://github.com/malarinv/tacotron2
README.md: describing how to load mel from disk
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@ -20,6 +20,7 @@ Distributed and FP16 support relies on work by Christian Sarofeen and NVIDIA's
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2. Clone this repo: `git clone https://github.com/NVIDIA/tacotron2.git`
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3. CD into this repo: `cd tacotron2`
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4. Update .wav paths: `sed -i -- 's,DUMMY,ljs_dataset_folder/wavs,g' filelists/*.txt`
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- Alternatively, set `load_mel_from_disk=True` in `hparams.py` and update mel-spectrogram paths
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5. Install [pytorch 0.4](https://github.com/pytorch/pytorch)
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6. Install python requirements or build docker image
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- Install python requirements: `pip install -r requirements.txt`
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