A paradigm converts any metric into a minimum edit distance equivalent to interpret ASR errors in terms of human perception and severity.
Our study indicates that the minED approach presents a more comprehensible strategy for evaluat- ing Automatic Speech Recognition (ASR) systems
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A Paradigm for Interpreting Metrics and Identifying Critical Errors in Automatic Speech Recognition
A paradigm converts any metric into a minimum edit distance equivalent to interpret ASR errors in terms of human perception and severity.