AI Signal
Granite Speech: right words, wrong speaker
IBM’s October 21 announcement details updated Granite Speech models. The Plus model can add anonymous speaker labels and word-end timestamps; check both against the recording.
· 1:07
Transcript
The original narration, preserved as published. Relative dates refer to the episode’s coverage window.
Your meeting transcript can get every word right and still blame the wrong person. IBM's October twenty first announcement details updated Granite Speech models. One targets the part a polished transcript can hide: who actually spoke.
Granite Speech four point one two B Plus can add speaker labels or word-level times when prompted. Speakers get numbers in order of appearance. A speaker number is not a verified real-world identity.
The updated weights arrived October nineteenth; this is a new announcement about that refresh, not a brand-new model. It supports five languages, including English, French and Spanish, with downloadable Apache two point zero weights.
IBM reports better word timing and keyword handling in its tests. The gains are uneven across datasets; its model card does not show every transcription score improving. We have not independently tested the model.
For a meeting tool, check the handoffs. Did a speaker switch move the promise to someone else? Does clicking a word land on the right audio? Treat the transcript as a navigation aid, and verify consequential quotes. Watch speaker labels and timing on your own noisy recordings.