Interesting - I'd been considering basically that two-pass approach in reverse (diarize, isolate each utterance in a per-speaker file with a vocal separator bet

Interesting - I'd been considering basically that two-pass approach in reverse (diarize, isolate each utterance in a per-speaker file with a vocal separator between each clip so that I don't have to rely on timestamps being perfectly accurate, run through whisper - could also do a file per utterance, but setup time seems like it would dominate in that case). Concern I had about my approach was that it'd be too different from whisper's training set of conversational data, and that might cause accuracy to take a dive.