Smart glasses two-person transcription gets a frontend: separating speakers before the audio-language model cuts errors on overlapped speech
For time-stamped speaker-attributed transcription of two-person smart-glasses conversations, extracting or separating each target speaker before decoding lowers error rates, and the gain grows with the speech overlap ratio on the validation set.