Voxtral TTS

📰 ArXiv cs.AI

Voxtral TTS is a multilingual text-to-speech model that generates natural speech from short reference audio

advanced Published 27 Mar 2026
Action Steps
  1. Train a speech tokenizer with a hybrid VQ-FSQ quantization scheme
  2. Adopt a hybrid architecture combining auto-regressive generation and flow-matching for token encoding and decoding
  3. Use the trained tokenizer to encode and decode semantic and acoustic tokens from reference audio
  4. Evaluate the generated speech using human evaluation metrics
Who Needs to Know This

AI engineers and researchers working on speech synthesis and natural language processing can benefit from Voxtral TTS, as it enables the generation of high-quality speech from minimal reference audio

Key Insight

💡 Voxtral TTS achieves high-quality speech synthesis with minimal reference audio using a hybrid architecture and novel speech tokenizer

Share This
🗣️ Voxtral TTS generates natural speech from just 3 seconds of reference audio!
Read full paper → ← Back to News