Meta drops real-time voice model that tracks 20+ speakers
Meta just launched Muse Voice Transcribe, its first real-time audio perception model from the Muse Spark family. Processing audio in 80ms chunks, it uses reinforcement learning to dynamically balance latency and accuracy while tracking over 20 distinct speakers. It natively supports hour-plus audio and is already live across Meta AI, Muse Code, and the Meta Model API.