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Update pretrained tts models #29

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Dec 13, 2023
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Update pretrained tts models #29

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f48f727
update pre-trained tts models's information
lmxue Dec 13, 2023
534acbc
fix a typo in the description part of LJSpeech dataset
lmxue Dec 13, 2023
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2 changes: 1 addition & 1 deletion egs/datasets/README.md
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Expand Up @@ -163,7 +163,7 @@ The official LibriTTS dataset can be download [here](https://www.openslr.org/60/

## LJSpeech

The official LibriTTS dataset can be download [here](https://keithito.com/LJ-Speech-Dataset/). The file structure tree is like:
The official LJSpeech dataset can be download [here](https://keithito.com/LJ-Speech-Dataset/). The file structure tree is like:

```plaintext
[LJSpeech dataset path]
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2 changes: 1 addition & 1 deletion egs/tts/README.md
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Expand Up @@ -14,4 +14,4 @@ Until now, Amphion TTS supports the following models or architectures,
- **[NaturalSpeech2](NaturalSpeech2)** (👨‍💻 developing): An architecture for TTS that utilizes a latent diffusion model to generate natural-sounding voices.

## Amphion TTS Demo
Here are some [TTS samples](https://openhlt.github.io/Amphion_TTS_Demo/) from Amphion (👨‍💻 developing).
Here are some [TTS samples](https://openhlt.github.io/Amphion_TTS_Demo/) from Amphion.
2 changes: 1 addition & 1 deletion egs/tts/VALLE/README.md
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Expand Up @@ -127,7 +127,7 @@ sh egs/tts/VALLE/run.sh --stage 3 --gpu "0" \
```


We will release a pre-trained VALL-E. So you can download the pre-trained model and generate speech following the above inference instruction.
We released a pre-trained Amphion VALL-E model. So you can download the pre-trained model [here](https://huggingface.co/amphion/valle-libritts) and generate speech following the above inference instruction.

```bibtex
@article{wang2023neural,
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2 changes: 1 addition & 1 deletion egs/tts/VITS/README.md
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Expand Up @@ -121,7 +121,7 @@ sh egs/tts/VITS/run.sh --stage 3 --gpu "0" \
--infer_text "This is a clip of generated speech with the given text from a TTS model."
```

We will release a pre-trained VITS model trained on LJSpeech. So you can download the pre-trained model and generate speech following the above inference instruction.
We released a pre-trained Amphion VITS model trained on LJSpeech. So you can download the pre-trained model [here](https://huggingface.co/amphion/vits-ljspeech) and generate speech following the above inference instruction.


```bibtex
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