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DTSTAMP:20250512T164858Z
DESCRIPTION:'Automatic music transcription and music understanding'\n\nSimo
 n Dixon\, Professor\, Queen Mary University of London (UK)\n\nFor more inf
 ormation visit cirmmt.org\n\n\nAbstract\n\nAutomatic music transcription i
 s the task of creating a score representation (for example in Western comm
 on music notation) from an audio recording or live audio stream. Although 
 research on this topic spans almost 50 years\, progress in the last few ye
 ars has been quite remarkable. The field has moved from a situation where 
 data was scarce\, methods were ad hoc\, and there were no standard methodo
 logies or datasets for comparing competing approaches\, to the current sta
 te where data-rich models are trained and tested on standard benchmark dat
 asets. Various transcription tasks are addressed\, such as transcription o
 f a single or multiple simultaneous instruments\, and transcription of the
  main melody or the bass line\, the chords or the lyrics. After discussing
  some of the methods we have developed and used for music transcription\, 
 I will give examples of the application of this technology for understandi
 ng human music-making\, such as analysis of melodic patterns in jazz impro
 visation and of expressive timing in classical and jazz performance.\n\nBi
 ography\n\nProf. Simon Dixon is Director of the UKRI Centre for Doctoral T
 raining in Artificial Intelligence and Music (2019-2027) and Deputy Direct
 or of the Centre for Digital Music (2015-) at Queen Mary University of Lon
 don. He has a PhD in Computer Science and LMusA diploma in Classical Guita
 r. He has 25 years of research experience and has published over 250 paper
 s in the area of music informatics\, including work on high-level music si
 gnal analysis\, computational modelling of musical knowledge and the study
  of musical performance. He was President of the International Society for
  Music Information Retrieval (ISMIR)\, is founding Editor-in-Chief of the 
 Transactions of ISMIR\, and member of the EPSRC Peer Review College. He ha
 s been PI on grants from UKRI (EPSRC\, ESRC\, AHRC)\, the European Commiss
 ion (H2020\, FP7)\, JISC\, Innovate UK\, and industry-funded projects.\n
DTSTART:20221121T220000Z
DTEND:20221121T230000Z
LOCATION:Tanna Schulich Hall \, Elizabeth Wirth Music Building\, CA\, QC\, 
 Montreal\, H3A 1E3\, 527 rue Sherbrooke Ouest
SUMMARY:CIRMMT Distinguished Lecture | Automatic music transcription and mu
 sic understanding
URL:/music/channels/event/cirmmt-distinguished-lecture
 -automatic-music-transcription-and-music-understanding-341590
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