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Introduction:
ChatTTS is a specialized text-to-speech (TTS) model built for conversational applications like virtual assistants and chatbots. It converts text into natural, expressive speech in both English and Chinese. Trained on massive datasets—100,000 hours for the full version and 40,000 hours for the open-source version—it provides precise control over prosodic elements, including laughter, pauses, and interjections.
ChatTTS Product Information
What is ChatTTS?
ChatTTS is a specialized text-to-speech (TTS) model built for conversational applications like virtual assistants and chatbots. It converts text into natural, expressive speech in both English and Chinese. Trained on massive datasets—100,000 hours for the full version and 40,000 hours for the open-source version—it provides precise control over prosodic elements, including laughter, pauses, and interjections.
How to use ChatTTS?
To use ChatTTS, enter your text into the interface. You can then refine the input and adjust settings such as audio temperature, top_P, top_K, audio seed, and text seed to customize the generated audio output.
ChatTTS's Core Features
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Optimized for dialogue scenarios (Conversational TTS)
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Fine-grained control over prosodic features (laughter, pauses, interjections)
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Superior prosody compared to most open-source TTS models
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Supports English and Chinese languages
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Trained on extensive data for natural, expressive speech
ChatTTS Use Cases
#1
Enhancing chatbots with natural, expressive dialogue
#2
Powering virtual assistants with lifelike speech
#3
Research and development in text-to-speech technology
FAQ from ChatTTS
How much VRAM is required, and what is the inference speed? +
You need at least 4GB of GPU memory to process a 30-second audio clip. On a 4090 GPU, the model generates audio at approximately 7 semantic tokens per second, achieving a Real-Time Factor (RTF) of about 0.3.
How can I address stability issues like poor audio quality or multi-speaker artifacts? +
These challenges are common in autoregressive models such as Bark and Valle. While it can be difficult to manage, generating multiple samples often helps in finding a high-quality result.
Are there controls for emotions or elements other than laughter? +
At present, the only available token-level controls are [laugh], [uv_break], and [lbreak]. Future updates may introduce additional emotional control features.
ChatTTS Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to ChatTTS.
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Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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