- document
-
Zhang, Y. (author), Herygers, Aaricia (author), Patel, T.B. (author), Yue, Z. (author), Scharenborg, O.E. (author)Automatic speech recognition (ASR) should serve every speaker, not only the majority “standard” speakers of a language. In order to build inclusive ASR, mitigating the bias against speaker groups who speak in a “non-standard” or “diverse” way is crucial. We aim to mitigate the bias against non-native-accented Flemish in a Flemish ASR system....conference paper 2023
- document
-
Zhang, Y. (author), Zhang, Yixuan (author), Halpern, B.M. (author), Patel, T.B. (author), Scharenborg, O.E. (author)Automatic speech recognition (ASR) systems have seen substantial improvements in the past decade; however, not for all speaker groups. Recent research shows that bias exists against different types of speech, including non-native accents, in state-of-the-art (SOTA) ASR systems. To attain inclusive speech recognition, i.e., ASR for everyone...journal article 2022