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.
Although the Power aligner is explicitly optimized for phonetic similarity, our approach achieves higher phoneme-level scores across every dataset and model
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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.