Fairness-Adjusted ASR Score metric
Project description
faas-metric
faas-metric is a Python library that implements the Fairness-Adjusted ASR Score (FAAS) — a unified metric to evaluate both accuracy and fairness in automatic speech recognition (ASR) systems. Based on the methodology proposed in the paper ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems, this library helps researchers and developers quantify model performance disparities across demographic groups using statistical fairness modeling.
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📄 Citation
If you use this package in your work, please cite:
@inproceedings{rai2025asrfairbench,
title={ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems},
author={Rai, Anand and Rahangdale, Satyam and Anand, Utkarsh and Mukherjee, Animesh},
booktitle={Proceedings of Interspeech},
year={2025},
}
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