mirror of https://github.com/malarinv/tacotron2
README.md: updating readme to comply with structure changes
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README.md
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README.md
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@ -19,7 +19,7 @@ Distributed and FP16 support relies on work by Christian Sarofeen and NVIDIA's
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1. Download and extract the [LJ Speech dataset](https://keithito.com/LJ-Speech-Dataset/)
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1. Download and extract the [LJ Speech dataset](https://keithito.com/LJ-Speech-Dataset/)
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2. Clone this repo: `git clone https://github.com/NVIDIA/tacotron2.git`
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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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3. CD into this repo: `cd tacotron2`
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4. Update .wav paths: `sed -i -- 's,DUMMY,ljs_dataset_folder/wavs,g' *.txt`
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4. Update .wav paths: `sed -i -- 's,DUMMY,ljs_dataset_folder/wavs,g' filelists/*.txt`
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5. Install [pytorch 0.4](https://github.com/pytorch/pytorch)
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5. Install [pytorch 0.4](https://github.com/pytorch/pytorch)
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6. Install python requirements or use docker container (tbd)
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6. Install python requirements or use docker container (tbd)
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- Install python requirements: `pip install requirements.txt`
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- Install python requirements: `pip install requirements.txt`
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@ -42,11 +42,14 @@ Distributed and FP16 support relies on work by Christian Sarofeen and NVIDIA's
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wavenet inference
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wavenet inference
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## Acknowledgements
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## Acknowledgements
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This implementation is inspired or uses code from the following repos:
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This implementation uses code from the following repos: [Keith
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[Ryuchi Yamamoto](https://github.com/r9y9/tacotron_pytorch), [Keith
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Ito](https://github.com/keithito/tacotron/), [Prem
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Ito](https://github.com/keithito/tacotron/), [Prem Seetharaman](https://github.com/pseeth/pytorch-stft).
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Seetharaman](https://github.com/pseeth/pytorch-stft) as described in our code.
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We are thankful to the Tacotron 2 paper authors, specially Jonathan Shen,
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We are inspired by [Ryuchi Yamamoto's](https://github.com/r9y9/tacotron_pytorch)
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Yuxuan Wang and Zongheng Yang.
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Tacotron PyTorch implementation.
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We are thankful to the Tacotron 2 paper authors, specially Jonathan Shen, Yuxuan
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Wang and Zongheng Yang.
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