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Wednesday, 2 September 2026

Meta Superintelligence Labs Releases Muse Voice Transcribe: One Real-Time Model for Streaming ASR, Diarization, and Endpointing

MarkTechPost 1 month ago 5 ● 8 sources

Meta Superintelligence Labs released Muse Voice Transcribe as a single autoregressive model that performs streaming ASR, speaker diarization, and endpointing together. It is priced at $3.00 per 1,000 audio minutes. The move removes the need to stitch multiple voice modules and enables deployment only via Meta’s hosted Model API (no weights released).

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Model Release Meta Multimodal Models Speech Recognition

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TLDRocket 16 October 2026

AI’s center of gravity this week moved toward something less glamorous than headlines about “smarter” models: scaling the stuff models actually learn from. AI4Bharat and NVIDIA released Nemotron-pretraining-Indic-v1, backed by an open, GPU-accelerated synthetic data generation pipeline for 22 Indian languages. The corpus is massive—about 2.8 trillion tokens—split across 2,601.0 billion native-script tokens and 224.6 billion romanized tokens. The practical pitch is even sharper: builders can reuse not just the data, but the full prompt/quality/repair recipe, then continue-pretraining to push results on Nemotron 3.5 Super VL, with the promise that an Indic continued-pretraining stage helps benchmarks.

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Wednesday, 2 September 2026

Meta Superintelligence Labs Releases Muse Voice Transcribe: One Real-Time Model for Streaming ASR, Diarization, and Endpointing

Every AI story that matters, in your inbox by 8am.

Every AI story that matters,
in your inbox by 8am.