ASR-FAIRBENCH introduces a live leaderboard and a Fairness-Adjusted ASR Score (FAAS) that combines word error rate with a demographic fairness penalty, applied to five speech recognition models.
A deep dive into the disparity of word error rates across thousands of nptel mooc videos,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SD 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems
ASR-FAIRBENCH introduces a live leaderboard and a Fairness-Adjusted ASR Score (FAAS) that combines word error rate with a demographic fairness penalty, applied to five speech recognition models.