Inequity in Popular Speech Recognition Systems for Accented English Speech
Chinaemere Ike, Seth Polsley, Tracy Hammond · 2022
Voice-enabled technology has become increasingly common in homes, businesses, and other parts of everyday life. The benefits of smart speakers, hands-free controllers, and digital assistants should be equally accessible to everyone, yet voice recognition performance can be frustratingly low for speakers with accents.In this work, we examine algorithmic bias in several voice recognition systems by measuring standard accuracy metrics on under-represented English accents.