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README.md: updating readme to comply with structure changes

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

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