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Harris et al., 2024 - Google Patents

Modeling gender and dialect bias in automatic speech recognition

Harris et al., 2024

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Document ID
3282608287502768829
Author
Harris C
Mgbahurike C
Kumar N
Yang D
Publication year
Publication venue
Findings of the Association for Computational Linguistics: EMNLP 2024

External Links

Snippet

Dialect and gender-based biases have become an area of concern in language-dependent AI systemsincluding around automatic speech recognition (ASR) which processes speech audio into text. These potential biases raise concern for discriminatory outcomes with AI …
Continue reading at aclanthology.org (PDF) (other versions)

Classifications

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    • G06F17/30634—Querying
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    • G06F17/30675—Query execution
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    • G10L13/00—Speech synthesis; Text to speech systems

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