[KongchangAI]
ModelVoxtral

Voxtral TTS

An open-weight text-to-speech model released by Mistral, supporting multiple languages and dialects. It features expressive emotional rendering, low-latency streaming synthesis, and voice customization capabilities.

Timeline (last 90 days)

Oct 3

Mistral released Voxtral TTS in March of this year, using a decoder-only transformer backbone that autoregressively predicts continuous latent variables, which are then reconstructed by a neural codec.

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Oct 3

Mistral's TTS shifted to a flow matching-based diffusion approach, using a flow head for velocity field prediction and integrating over a fixed number of steps at inference time, offering a quality-speed tradeoff.

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Sep 12

Voxtral TTS focuses on three core capabilities: natural and emotionally expressive speech, multilingual support, and extremely low synthesis latency.

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Sep 12

Voxtral TTS supports 9 languages and claims to accurately capture diverse dialects.

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Sep 12

Voxtral TTS emphasizes very low latency performance.

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Sep 12

Mistral has launched Voxtral TTS, a text-to-speech model positioned as a "frontier open weights" solution.

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Sep 12

Open weights allow developers to complete voice fine-tuning locally, avoiding the need to upload voiceprint data to third-party services, which provides greater assurance in terms of privacy and compliance.

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Sep 12

Voxtral TTS currently lacks publicly available data such as third-party evaluations, specific parameter scale, and license agreement details.

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Sep 12

Voxtral TTS supports being easily adaptable to new voices.

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Sep 12

Voxtral TTS is released in open-weights form, allowing developers to access model parameters, perform local deployment, and conduct secondary development.

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