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speech to speech ai

ChatTTS Me - AI text to speech

Conversational text-to-speech model for natural, expressive dialogue.

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speech to speech ai Speech to speech to text to speech
More categories (10)
Text to speech Tts Conversational AI Chatbots Virtual assistants AI voice Speech Synthesis Natural-language-processing Open source AI Dialogue systems
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Conversational text-to-speech model for natural, expressive dialogue
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Conversational text-to-speech model for natural, expressive dialogue

Overview

ChatTTS is a cutting-edge conversational text-to-speech (TTS) model designed for dialogue scenarios such as chatbots and virtual assistants. It transforms text into dynamic, natural-sounding speech, supporting both English and Chinese. The model is trained on extensive data (100,000+ hours for the full version, 40,000 hours for the open-source version) to deliver expressive speech with fine-grained control over prosodic features like laughter, pauses, and interjections.

ChatTTS Me - AI text to speech screenshot

Access & connections

Where you can use ChatTTS Me - AI text to speech.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Optimized for dialogue scenarios (Conversational TTS)
  • Fine-grained control over prosodic features (laughter, pauses, interjections)
  • Superior prosody compared to most open-source TTS models
  • Supports English and Chinese languages
  • Trained on extensive data for natural, expressive speech

FAQ 5

What is ChatTTS?
ChatTTS is a cutting-edge conversational text-to-speech (TTS) model designed for dialogue scenarios such as chatbots and virtual assistants. It transforms text into dynamic, natural-sounding speech, supporting both English and Chinese. The model is trained on extensive data (100,000+ hours for the full version, 40,000 hours for the open-source version) to deliver expressive speech with fine-grained control over prosodic features like laughter, pauses, and interjections.
How to use ChatTTS?
To use ChatTTS, users input text into the provided interface. They can then refine the text and adjust parameters such as audio temperature, top_P, top_K, audio seed, and text seed before generating the output audio.
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!
ChatTTS Me - AI text to speech
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