A novel alignment algorithm using dynamic programming and beam search provides more accurate matching of individual errors between reference and model transcripts for improved speech recognition evaluation.
Metric: Global-to-local edits (GLE) We do not have access to human-annotated gold-standard alignments
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A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems
A novel alignment algorithm using dynamic programming and beam search provides more accurate matching of individual errors between reference and model transcripts for improved speech recognition evaluation.