Computational Audiology Network (CAN)

Jun 06 2022 6

Computational Audiology Network (CAN) Podcast artwork

A global network for the application of data science and AI to hearing (loss) research and technology. CAN will bring together academics, clinicians, industry partners, policymakers, and listeners to innovate hearing health(care).

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A holistic perspective on hearing technology

Jun 06 2022 59 mins

In this episode, Brent Edwards from NAL and Stefan Launer from Sonova take us through their careers and share lessons and perspectives on the development of hearing technology. We discuss how the development of technology become more holistic, design thinking, standardization and what's needed to get to new service models and innovation.Time index of content:Early career learnings

Automated Speech Recognition (ASR) for the deaf

Apr 24 2022 75 mins

Automated Speech Recognition (ASR) for the deaf and communication on equal terms regardless of hearing status.Episode 2 with Dimitri Kanevsky, Jessica Monaghan and Nicky Chong-White. Moderator Jan-Willem WasmannYou are witnessing a recording of an interview that was prepared as an experiment using an automated speech recognition system (speech to text). One of the participants, Dim

Bayesian Active Learning in Audiology

Apr 16 2022 48 mins

Here we discuss with Josef Schlittenlacher (ManCAD), Bert de Vries (TUe) and Dennis Barbour (WashU st. Louis) the potential of Bayesian active learning in audiology, in medicine, and beyond.Quotes from the interview:Dennis: 'No Bayesianists are born, they are all converted' (origin unknown)Josef: The audiogram is the ideal testbed for Bayesian active learning.' Bert's favorite quot