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UID:/NewsandEvents/Archives/2019/newsitem/11379/10
 -December-2019-Music-cognition-reading-group-deep-
 learning-modality-harmony
DTSTAMP:20191209T132424
SUMMARY:Music cognition reading group: deep learni
 ng modality & harmony
DTSTART;TZID=Europe/Amsterdam:20191210T123000
DTEND;TZID=Europe/Amsterdam:20191210T140000
LOCATION:ILLC Seminar Room F1.15, Science Park 107
 , Amsterdam
DESCRIPTION:We turn our attention to two of the be
 st papers at ISMIR 2019. The selected papers use t
 wo popular deep learning models, convolutional neu
 ral networks and transformers, to tackle loosely r
 elated tasks: predicting modality and chord transc
 ription. The goal is to get beyond the technicalit
 ies of these deep learning models, and also discus
 s their assumptions and broader implications.
X-ALT-DESC;FMTTYPE=text/html:\n  <p>We turn our at
 tention to two of the best papers at <a href="http
 ://ismir2019.ewi.tudelft.nl/" target="_blank">ISMI
 R 2019</a>. The selected papers use two popular de
 ep learning models, convolutional neural networks 
 and transformers, to tackle loosely related tasks:
  predicting modality and chord transcription. The 
 goal is to get beyond the technicalities of these 
 deep learning models, and also discuss their assum
 ptions and broader implications.</p>\n
URL:https://musicreadinggroup.wordpress.com/2019/1
 1/25/ismir-best-papers-deep-learning-modality-harm
 ony/
CONTACT:Bas Cornelissen at mail at bascornelissen.
 nl
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