This is a simplified guide to an AI model called Chatterbox-Multilingual maintained by Resemble-Ai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The chatterbox-multilingual text-to-speech model from resemble-ai transforms text into natural speech across 23 languages, from Arabic and Chinese to Swahili and Turkish. Built for fast deployment with optimized model weight downloads, this system delivers voice synthesis and cloning capabilities without requiring authentication tokens or complex setup processes. While chatterbox focuses on English with emotion control, this multilingual version extends voice synthesis across diverse languages with cross-language voice transfer features. The model differs from chatterbox-pro by emphasizing multilingual support over advanced professional features.
Model inputs and outputs
The model accepts text input up to 300 characters and converts it into spoken audio with extensive customization options. Users can upload reference audio files for voice cloning, select from 23 supported languages, and control speech characteristics through parameters like exaggeration levels and generation temperature. The system outputs audio files in URI format, making integration straightforward for applications requiring multilingual speech synthesis.
Inputs
- text: Input text to synthesize (maximum 300 characters)
- language: Target language selection from 23 supported options
- reference_audio: Optional audio file for voice cloning
- exaggeration: Speech expressiveness control (0.25-2.0, default 0.5)
- temperature: Generation randomness control (0.05-5.0)
- cfg_weight: CFG/Pace weight for generation guidance (0.2-1.0)
- seed: Random seed for reproducible results
Outputs
- audio_uri: Generated speech audio file in URI format
Capabilities
The system performs voice cloning from...
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