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SUMMARY:AI for Sound - Prof. Mark Plumbley\, University of Surrey
DTSTART:20230615T110000Z
DTEND:20230615T120000Z
UID:TALK201538@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:Imagine you are standing on a street corner in a city. Close y
 our eyes: what do you hear? Perhaps some cars and busses driving on the ro
 ad\, footsteps of people on the pavement\, beeps from a pedestrian crossin
 g\, and the hubbub of talking shoppers. You can do the same in a kitchen a
 s someone is making breakfast\, or as you are travelling in a vehicle. Now
 \, following the success of AI and machine learning technologies for speec
 h and image recognition\, we are beginning to build computer systems to au
 tomatically recognize real-world sound scenes and events. In this talk\, w
 e will explore some of the work going on in this rapidly expanding researc
 h area\, and discuss some of the potential applications emerging for sound
  recognition\, from assisted living to environmental noise and sound archi
 ves. We will also outline how we are adopting participatory methods to hel
 p us realise the potential benefit of sound sensing to society and the eco
 nomy.\n \n*Bio*: Prof. Mark Plumbley is Professor of Signal Processing at 
 the Centre for Vision\, Speech and Signal Processing (CVSSP) at the Univer
 sity of Surrey\, in Guildford\, UK. He is an expert on analysis and proces
 sing of audio\, using a wide range of signal processing and machine learni
 ng methods. He led the first international data challenge on Detection and
  Classification of Acoustic Scenes and Events (DCASE)\, and is a co-editor
  of the book "Computational Analysis of Sound Scenes and Events" (Springer
 \, 2018). He currently holds a 5-year EPSRC Fellowship "AI for Sound" on a
 utomatic recognition of everyday sounds. He is a Member of the IEEE Signal
  Processing Society Technical Committee on Audio and Acoustic Signal Proce
 ssing\, and a Fellow of the IET and IEEE.
LOCATION:LT6\, Baker Building\, CUED
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