A paradigm converts any metric into a minimum edit distance equivalent to interpret ASR errors in terms of human perception and severity.
HATS: An open dataset integrating human percep- tion applied to the evaluation of Automatic Speech Recognition metrics
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.