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Use piper-phonemize to convert text to token IDs (#453)

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This commit is contained in:
Fangjun Kuang
2023-11-30 23:57:43 +08:00
committed by GitHub
parent db41778e99
commit 62dc3c3e46
55 changed files with 1048 additions and 192 deletions
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7
nodejs-examples/README.md
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@@ -42,15 +42,14 @@ In the following, we demonstrate how to run text-to-speech.
## ./test-offline-tts-en.js
[./test-offline-tts-en.js](./test-offline-tts-en.js) shows how to use
a VITS pretrained model
[VCTK](https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/vits.html#vctk-english-multi-speaker-109-speakers)
[vits-piper-en_US-amy-low.tar.bz2](https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-amy-low.tar.bz2)
for text-to-speech.
You can use the following command to run it:
```bash
wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-vctk.tar.bz2
tar xvf vits-vctk.tar.bz2
wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-amy-low.tar.bz2
tar xvf vits-piper-en_US-amy-low.tar.bz2
node ./test-offline-tts-en.js
```