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Bob Sturm

Bob Sturm

Lecturer in Digital Media, Queen Mary University of London

I am currently a Lecturer in Digital Media at the School of Electronic Engineering and Computer Science at Queen Mary University of London. My research interests include digital signal processing for sound and music signals, machine listening, and evaluation. Here’s my google scholar page. I also waterpaint while I run.

Our international research and creative team has been applying methods of “machine learning” to modeling folk music – specifically, tens of thousands of “Celtic” tunes typically played in pubs and festivals around Ireland, France and the UK. The result is a computer program that can generate an endless number of tunes. With human interpretation, these tunes can become music sharing a surprising number of qualities with “genuine” folk music.

'Machine folk' music shows the creative side of Artificial Intelligence

Apr 02, 2017 02:31 am UTC| Insights & Views Entertainment

Folk music is part of a rich cultural context that stretches back into the past, encompassing the real and the mythical, bound to the traditions of the culture in which it arises. Artificial intelligence, on the other...

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