Computational Audiology Network (CAN)

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 - 3:20Factors important for career success - 6:40Hearing healthcare trends over past 30 years - 9:10Design ...

06-06

59:35

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, Dimitri Kanevsky is deaf and needs to read the transcript of what is said in order to follow the discussion, the oth...

04-24

01:15:22

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 quote: “Everything is the way it is because it got that way” (D'Arcy Wentworth Thompson, 1860--1948) The la...

04-16

48:41