MOSS-Transcribe-Diarize 0.9B runs on a 17.5-minute AMI meeting with four speakers on a MacBook; all four speakers detected, 0.08% speaker confusion, 12-minute run time
Read the original at www.reddit.com→Wanted to see how one model that does transcription, speaker labels and timestamps in a single pass handles a real meeting, so I ran MOSS-Transcribe-Diarize 0.9B on a four person meeting from the AMI test set and...
Original headline: "Ran a 0.9B transcribe + diarize model on a 17.5 minute, 4 person AMI meeting on a MacBook: all 4 speakers found, 0.08% speaker confusion, done in 12 minutes"
Coverage timeline
- Oct 22, 15:03 UTC r/LocalLLaMA lead source Ran a 0.9B transcribe + diarize model on a 17.5 minute, 4 person AMI meeting on a MacBook: all 4 speakers found, 0.08% speaker confusion, done in 12 minutes