Most people have encountered speech recognition software in their day-to-day lives, whether through personal digital assistants, auto transcription, or other such modern marvels. As the technology advances, though, it still fails to understand speakers of African American English (AAE). In this episode, we talk to Michelle Cohn (Google Research and University of California Davis) and Zion Mengesha (Google Research and Stanford University) about their research into why these problems with speech recognition software seem to persist and what can be done to make sure more voices are understood by the technology.


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