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doc: grammar correction for README.md (#241)

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correct the grammar in the README.md file.
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Wang Wenhui
2024-06-18 15:45:27 +08:00
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README.md
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# ChatTTS
[**English**](./README.md) | [**中文简体**](./README_CN.md) | [**日本語**](./README_JP.md)
ChatTTS is a text-to-speech model designed specifically for dialogue scenario such as LLM assistant. It supports both English and Chinese languages. Our model is trained with 100,000+ hours composed of chinese and english. The open-source version on **[HuggingFace](https://huggingface.co/2Noise/ChatTTS)** is a 40,000 hours pre trained model without SFT.
ChatTTS is a text-to-speech model designed specifically for dialogue scenarios such as LLM assistant. It supports both English and Chinese languages. Our model is trained with 100,000+ hours composed of Chinese and English. The open-source version on **[HuggingFace](https://huggingface.co/2Noise/ChatTTS)** is a 40,000 hours pre-trained model without SFT.
For formal inquiries about model and roadmap, please contact us at **open-source@2noise.com**. You could join our QQ group: ~~808364215 (Full)~~ ~~230696694 (Group 2)~~ 933639842 (Group 3) for discussion. Adding github issues is always welcomed.
@@ -115,7 +115,7 @@ For a 30-second audio clip, at least 4GB of GPU memory is required. For the 4090
##### model stability is not good enough, with issues such as multi speakers or poor audio quality.
This is a problem that typically occurs with autoregressive models(for bark and valle). It's generally difficult to avoid. One can try multiple samples to find a suitable result.
This is a problem that typically occurs with autoregressive models (for bark and valle). It's generally difficult to avoid. One can try multiple samples to find a suitable result.
##### Besides laughter, can we control anything else? Can we control other emotions?
@@ -127,7 +127,7 @@ In the current released model, the only token-level control units are [laugh], [
---
## Acknowledgements
- [bark](https://github.com/suno-ai/bark), [XTTSv2](https://github.com/coqui-ai/TTS) and [valle](https://arxiv.org/abs/2301.02111) demostrate a remarkable TTS result by a autoregressive-style system.
- [bark](https://github.com/suno-ai/bark), [XTTSv2](https://github.com/coqui-ai/TTS) and [valle](https://arxiv.org/abs/2301.02111) demostrate a remarkable TTS result by an autoregressive-style system.
- [fish-speech](https://github.com/fishaudio/fish-speech) reveals capability of GVQ as audio tokenizer for LLM modeling.
- [vocos](https://github.com/gemelo-ai/vocos) which is used as a pretrained vocoder.