A Paradigm for Interpreting Metrics and Identifying Critical Errors in Automatic Speech Recognition
arXiv:2605.03671v1 Announce Type: new
Abstract: The most commonly used metrics for evaluating automatic speech transcriptions, namely Word Error Rate (WER) and Character Error Rate (CER), have been heavily criticized for their poor correlation to huma…