Performance Disparities between Accents in Automatic Speech Recognition (Student Abstract)
نویسندگان
چکیده
In this work, we expand the discussion of bias in Automatic Speech Recognition (ASR) through a large-scale audit. Using large and global data set speech, perform an audit some most popular English ASR services. We show that, even when controlling for multiple linguistic covariates, service performance has statistically significant relationship to political alignment speaker's birth country with respect United States' geopolitical power.
منابع مشابه
Modelling Accents for Automatic Speech Recognition
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Declaration By submitting this thesis electronically, I declare that the entirety of the work contained therein is my own, original work, that I am the sole author thereof (save to the extent explicitly otherwise stated), that reproduction and publication thereof by Stellenbosch University will not infringe any third party rights and that I have not previously in its entirety or in part submitt...
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ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2023
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v37i13.26960