Prof. Shrikanth (Shri) Narayanan

University of Southern California, Los Angeles, CA Viterbi School of Engineering Signal Analysis and Interpretation Laboratory
Shrikanth (Shri) Narayanan the Niki & C. L. Max Nikias Chair in Engineering at the University of Southern California, where he is Professor of Electrical & Computer Engineering, and jointly in Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics and Otolaryngology, Director of the Ming Hsieh Institute and Research Director of the Information Sciences Institute. Prior to USC he was with AT&T Bell Labs and AT&T Research. His research focuses on human-centered sensing, computing and information processing. He is a Fellow of the National Academy of Inventors, the Acoustical Society of America, IEEE, ISCA, the American Association for the Advancement of Science (AAAS), the Association for Psychological Science, and the American Institute for Medical and Biological Engineering (AIMBE).


He is a recipient of several honors including the 2015 Engineers Council’s Distinguished Educator Award, a Mellon award for mentoring excellence, the 2005 and 2009 Best Journal Paper awards from the IEEE Signal Processing Society and serving as its Distinguished Lecturer for 2010-11, a 2018 ISCA Best Journal Paper award, and serving as an ISCA Distinguished Lecturer for 2015-16 and the Willard R. Zemlin Memorial Lecturer for ASHA in 2017. He has published over 800 papers and has been granted seventeen U.S. patents.



Prof. John Ashley Burgoyne

University of Amsterdam
John Ashley Burgoyne is the Lecturer in Computational Musicology at the University of Amsterdam and researcher in the Music Cognition Group at the Institute for Logic, Language, and Computation. Cross-appointed in Musicology and Artificial Intelligence, he is interested in understanding musical behaviour at the audio level, using large-scale experiments and audio corpora. His McGill-Billboard corpus of time-aligned chord and structure transcriptions has served as a backbone for audio chord estimation techniques. His Hooked on Music project reached hundreds of thousands of participants in almost every country on Earth while collecting data to understand long-term musical memory.