10 Excellent Open-Source TTS Voice Models Worth Trying 242

10 Excellent Open-Source TTS Voice Models Worth Trying

10 Excellent Open-Source TTS Voice Models Worth Trying

10 Recommended Open-Source TTS Voice Models.jpg

In my usual text-to-speech (TTS) research, there are many excellent text-to-speech (TTS) models worth recommending. Below are 10 outstanding TTS voice models I have compiled that perform remarkably in research and practical applications:

1、GPT-SoVITS

The TTS model used by the AI live-streaming sales large model Streamer-Sales, supporting English, Japanese, and Chinese for zero-shot text-to-speech (TTS).

Integrated toolkit: github: https://github.com/RVC-Boss/GPT-SoVITS

2、Fish Speech v1.2

Produces stable and excellent results, supports voice cloning. Trained on 300,000 hours of English, Chinese, and Japanese audio data.

Model: https://huggingface.co/fishaudio/fish-speech-1.2

Online version: https://fish.audio/zh-CN/

3、ByteDance's Seed-TTS (not open-source)

Supports multiple languages including English and Chinese, capable of same-language and cross-language generation, handling various types of text such as narrative text, emotional expression, and descriptive text, and generating corresponding voice based on different emotions and contexts.

Project: https://bytedancespeech.github.io/seedtts_tech_report/

4、ChatTTS

Conversational TTS (multi-speaker capable), supports Chinese and English, with delicate prosody.

github: https://github.com/2noise/ChatTTS

Model: https://huggingface.co/2Noise/ChatTTS/tree/main

5、Parler-TTS

Can control pitch, speed, gender, noise level, emotional characteristics, and more

github: https://github.com/huggingface/parler-tts

Model: https://huggingface.co/parler-tts

6、MetaVoice-1B

Supports multiple languages, achieving emotional speech rhythm in English processing

github: https://github.com/metavoiceio/metavoice-src

7、MARS5-TTS

MARS5 can generate speech for scenarios with complex and diverse prosody such as sports commentary and anime

github: https://github.com/Camb-ai/MARS5-TTS

8、OpenVoice

Natively supports English, Spanish, French, Chinese, Japanese, and Korean, offering flexible voice style control and zero-shot cross-lingual voice cloning capabilities.

github: https://github.com/myshell-ai/OpenVoice

9、EmotiVoice

Supports bilingual Chinese and English, with over 2,000 different voice timbres

github: https://github.com/netease-youdao/EmotiVoice/blob/main/README.zh.md

10、StyleTTS2

A text-to-speech library approaching human-level quality, leveraging style diffusion and adversarial training with a large speech language model (SLM) to achieve human-level TTS synthesis.

github: https://github.com/yl4579/StyleTTS2

The above are the 10 outstanding TTS voice models I have compiled. Each of these models has its own strengths and weaknesses across different application scenarios and hardware configurations. Choosing the right model requires evaluation based on the specific application and resources.