AI Bias, Inclusion and Diversity in Speech Recognition

A talk by David Keene
Chief Marketing Officer, Speechmatics

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About this talk

The global pandemic has changed life - the reduction in face-to-face contact and the pivot to audio has been great for many, but also raises questions around inclusion and diversity. Does today’s technology really understand everyone regardless of age, gender, accent, or location?

This talk explores self-supervised learning with Autonomous Speech Recognition and how we can use it to tackle inequality and bias in AI. The move beyond language accuracy towards voice cohort accuracy will deliver inclusive and diverse speech recognition that makes AI work better anytime, anyplace, anywhere.