ChatTTS
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About
ChatTTS is an advanced text-to-speech model designed for dialogue scenarios such as chatbots and virtual assistants. It supports English and Chinese, having been trained on over 100,000 hours of data to provide natural and expressive speech. The open-source version available on HuggingFace includes a pre-trained model with 40,000 hours of data, making it suitable for research and development. ChatTTS is designed for interactive conversations, enabling multiple speakers and supporting realistic features like laughter, pauses, and interjections. It excels in prosody, offering a superior lifelike experience compared to most open-source TTS models.
Platform
Task
Features
• supports english and chinese
• fine-grained control over prosody
• predicts and controls prosodic features
• multiple speaker support
• natural and expressive speech
• optimized for dialogue scenarios
FAQs
How much VRAM do I need, and what's the inference speed?
For a 30-second audio clip, you'll need at least 4GB of GPU memory. On a 4090 GPU, ChatTTS generates audio at about 7 semantic tokens per second, with a Real-Time Factor (RTF) of around 0.3.
What if the model stability isn't great, with issues like multi-speakers or poor audio quality?
This is a common issue with autoregressive models (like Bark and Valle). It can be tricky, but you can try multiple samples to find a suitable result.
Besides laughter, can we control other emotions or elements?
Currently, the only token-level control units are [laugh], [uv_break], and [lbreak]. Future versions of ChatTTS may include additional emotional control capabilities, so stay tuned!
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