Accents in Speech Recognition through the Lens of a World Englishes Evaluation Set

Automatic Speech Recognition (ASR) systems generalize poorly on accented speech, creating bias issues for users and providers. The phonetic and linguistic variability of accents present challenges for ASR systems in both data collection and modeling strategies. We present two promising approaches to...

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Bibliographic Details
Main Authors: Miguel Del Río, Corey Miller, Ján Profant, Jennifer Drexler-Fox, Quinn Mcnamara, Nishchal Bhandari, Natalie Delworth, Ilya Pirkin, Migüel Jetté, Shipra Chandra, Peter Ha, Ryan Westerman
Format: Article
Language:English
Published: Lodz University Press 2023-12-01
Series:Research in Language
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Online Access:https://czasopisma.uni.lodz.pl/research/article/view/21579
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