Voxtral Transcribe 2 Explained: Diarization, Context Biasing, Realtime ASR and Multilingual Speech

Voxtral Transcribe 2 is Mistral’s latest multilingual speech-to-text model family, designed for both high-accuracy batch transcription and ultra-low-latency real-time speech recognition. In this technical deep dive, we break down how modern ASR systems like Voxtral 2 convert raw audio into structured, speaker-aware transcripts and why features like diarization, context biasing, and streaming decoding matter for real-world voice applications. The video explains the full transcription pipeline, including voice activity detection, speaker embedding and clustering, beam-search decoding, and probability biasing toward domain vocabulary. We also examine how real-time and batch ASR differ architecturally, and how multilingual benchmarks such as FLEURS measure cross-language robustness. To demonstrate these capabilities, we evaluate Voxtral 2 across curated audio scenarios covering multi-speaker conversations.