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Three New Yorkers walk into a bar: one grew up in the Midwest in a Mexican family, another is a native Spanish speaker from Colombia, and the last, a New Yorker who spoke Castilian Spanish at home until high school. There’s no punchline here: they simply sit down and have a conversation in English.

Given those differences, what happens when each of them goes home to their voice assistant and makes a request in English? How well is each of their accents understood? And what are the consequences for those who aren’t understood?

Those are essential questions for data scientists, developers, and other AI speech professionals as they work to create products that are inclusive, diverse, and free from biases caused by an accent gap. Watch this webinar to learn more.