MAI-Transcribe-1

MAI-Transcribe-1 is a speech‑to‑text model designed for production use on noisy, multilingual audio. It targets scenarios such as conference rooms, phone calls, and bustling street environments, handling a wide range of accents and background sounds while maintaining low word‑error rates. The model supports 25 languages and is positioned as a single solution for developers building global applications.

The system emphasizes both accuracy and efficiency. Benchmarks on the FLEURS dataset show it achieving the lowest error rates among comparable models, and its architecture is optimized for fast inference and reduced computational cost. These characteristics make it suitable for both offline and online deployments, including voice‑agent stacks and other real‑time transcription services.

MAI-Transcribe-1 is offered through Microsoft Foundry and is already integrated into various Microsoft products. It is presented as an experimental yet production‑ready component for developers who need reliable, high‑quality automatic speech recognition across diverse languages and noisy conditions.