Current ASR fairness benchmarks using single heterogeneous speaker groups can misidentify mistreated groups, so evaluations should use fine-grained intersectional analysis of available demographic metadata.
InProceedings of the XX In- ternational Conference on Human Computer In- teraction, Interacción ’19, pages 1–8, New York, NY, USA
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Responsible Benchmarking of Fairness for Automatic Speech Recognition
Current ASR fairness benchmarks using single heterogeneous speaker groups can misidentify mistreated groups, so evaluations should use fine-grained intersectional analysis of available demographic metadata.