| top_md = """ | |
| # VALL-E X | |
| [](https://colab.research.google.com/drive/1yyD_sz531QntLKowMHo-XxorsFBCfKul?usp=sharing) | |
| [](https://github.com/Plachtaa/vallex-webui) | |
| Unofficial implementation of Microsoft's [VALL-E X](https://arxiv.org/pdf/2303.03926).<br> | |
| VALL-E X can synthesize high-quality personalized speech with only a 3-second enrolled recording of | |
| an unseen speaker as an acoustic prompt, even in another language for a monolingual speaker.<br> | |
| This implementation supports zero-shot, mono-lingual/cross-lingual text-to-speech functionality of three languages (English, Chinese, Japanese)<br> | |
| See this [demo](https://plachtaa.github.io/) page for more details. | |
| """ | |
| infer_from_audio_md = """ | |
| Upload a speech of 3~10 seconds as the audio prompt and type in the text you'd like to synthesize.<br> | |
| The model will synthesize speech of given text with the same voice of your audio prompt.<br> | |
| The model also tends to preserve the emotion & acoustic environment of your given speech.<br> | |
| For faster inference, please use **"Make prompt"** to get a `.npz` file as the encoded audio prompt, and use it by **"Infer from prompt"** | |
| """ | |
| make_prompt_md = """ | |
| Upload a speech of 3~10 seconds as the audio prompt.<br> | |
| Get a `.npz` file as the encoded audio prompt. Use it by **"Infer with prompt"** | |
| """ | |
| infer_from_prompt_md = """ | |
| Faster than **"Infer from audio"**.<br> | |
| You need to **"Make prompt"** first, and upload the encoded prompt (a `.npz` file) | |
| """ |