23 March, 2023
Speech interaction with digital technologies is becoming more a part of everyday life, and as we increase our use of voice commands, accessibility and fairness across the world’s languages becomes ever more important.
Join Speechmatics Data Science Engineer Benedetta Cevoli and Machine Learning Engineer Bethan Thomas as they lead the discussion on the Improved Language Coverage through Self-Supervised Learning in Automatic Speech Recognition at UCL Speech Science Forum on March 23.
UCL Speech Hearing and Phonetic Sciences - SHaPS - is internationally recognized for the excellence of its research into the perception and production of speech, hearing for speech and applied research in speech signal processing.
Find out about attending the free event here.
If you’ like to know more about our latest release, Ursa, and how it breaks the accessibility barriers in speech technologies click here.