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    Day 1


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.
  • How we can use Autonomous Speech Recognition 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.

Associated Speakers:

David Keene

Chief Strategy Officer


Associated Talks:

02:20PM - Day 1

View Presentation: AI Bias, Inclusion, and Diversity in Speech Recognition

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