Model Detail
Voxtral-4B-TTS-2603
—Voxtral-4B-TTS-2603 is an audio model with 4B parameters released by Mistral. The model is registered under the text-to-speech pipeline tag on Hugging Face, distributed under the permissive cc-by-nc-4.0 license.
Voxtral-4B-TTS-2603 ships with 4B parameters. The cc-by-nc-4.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
Voxtral-4B-TTS-2603 is best fit for speech recognition, transcription, or speech synthesis depending on the task head. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Spooftral: Can Voxtral Audio-Language Model Detect Speech Spoofing?
arXiv:2609.28713v1 Announce Type: cross Abstract: Self-supervised learning (SSL) countermeasures (CMs) have shown strong performance in recent years. However, they often show degraded performance while facing unseen spoofing attacks and mismatched conditions. This study examines the Voxtral audio-la
Voxtral Realtime
arXiv:2602.11298v3 Announce Type: replace Abstract: We introduce Voxtral Realtime, a natively streaming automatic speech recognition model that matches offline transcription quality at sub-second latency. Unlike approaches that adapt offline models through chunking or sliding windows, Voxtral Realti
Voxtral TTS
arXiv:2603.25551v2 Announce Type: replace Abstract: We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. Voxtral TTS adopts a hybrid architecture that combines auto-regressive generation of semantic sp
