AI Briefing#speaker-diarization
The latest AI and developer news about #speaker-diarization, with the original source and a short summary.
The latest AI and developer news about #speaker-diarization, with the original source and a short summary.
Scribe v3 Live reduces realtime semantic errors by 43% and adds speaker diarization, while Scribe v3 improves batch accuracy in every tested language.
The guide explains the four-step transcription pipeline and notes that post-call processing is more accurate and cost-effective than real-time streaming.
NVIDIA has released Nemotron 3.5 Transcribe, which supports 40 languages, as open source.
ElevenLabs outlines a five-step workflow for podcast transcription, featuring Scribe v2 which supports 90+ languages, 32 speakers, and 10-hour files, with exports for Apple Podcasts and Spotify.
Speaker diarization is a technology that identifies who spoke when in an audio recording.
ASR converts speech to text and has improved accuracy and real-time processing performance over the past 70 years.
Multilingual transcription converts speech in multiple languages into searchable text.
A 0.9B-scale audio understanding model that performs speech transcription, speaker diarization, and timestamp generation all at once has been released.
vibevoice.cpp, a ggml-based inference engine that can run Microsoft VibeVoice without Python, has been released.
Microsoft released VibeVoice, unveiling a family of ASR, TTS, and real-time voice models.
Microsoft's VibeVoice transcribed 1 hour of audio in 8 minutes 45 seconds.
An open weights model has been released that transcribes overlapping speech from multiple speakers using a single model.
Wearable AI assistant Fieldy adopted ElevenLabs' Scribe and improved user retention by 50%.
Mistral has released Voxtral Transcribe 2, which supports 13 languages, along with a real-time model.