Gerald Schuller: Perceptual and higher-level loss and distance functions for machine learning in audio and acoustics

Prof. Gerald Schuller will report on the potential transformative role of perceptual loss functions and distance metrics in enhancing audio and acoustic machine learning models, and their applications. He will cover theoretical foundations of perceptual loss functions, which mimic human auditory perception, and also more abstract, higher-level representations, and explore how these functions, along with novel distance metrics, significantly improve the performance of audio processing tasks. Applications involving loss functions for room impulse responses, audio similarity, and audio representations for cochlear implants will be discussed.

Prof. Marina Bosi will be hosting his visit.

Join us in Zoom if you cannot make it in person!

 
Gerald Schuller is a full professor at the Institute for Media Technology of the Technical University of Ilmenau, since 2008. He was head of the Audio Coding for Special Applications group of the Fraunhofer Institute for Digital Media Technology in Ilmenau, Germany, since January 2002 until 2008, and is now a member of Fraunhofer IDMT. Before joining the Fraunhofer Institute, he was a Member of Technical Staff at Bell Laboratories, Lucent Technologies, and Agere Systems, a Lucent Spin-off, from 1998 to 2001. There he worked in the Multimedia Communications Research Laboratory.