{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T22:43:52Z","timestamp":1783550632272,"version":"3.55.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8683426","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T16:01:56Z","timestamp":1555516916000},"page":"381-385","source":"Crossref","is-referenced-by-count":27,"title":["Multitask Learning for Frame-level Instrument Recognition"],"prefix":"10.1109","author":[{"given":"Yun-Ning","family":"Hung","sequence":"first","affiliation":[{"name":"Academia Sinica, Research Center for IT Innovation, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi-An","family":"Chen","sequence":"additional","affiliation":[{"name":"KKBOX Inc., Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi-Hsuan","family":"Yang","sequence":"additional","affiliation":[{"name":"Academia Sinica, Research Center for IT Innovation, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Mixing secrets: a multi-track dataset for instrument recognition in polyphonic music","author":"gururani","year":"2017","journal-title":"Proc ISMIR-LBD"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461329"},{"key":"ref12","article-title":"Automatic instrument recognition in polyphonic music using convolutional neural networks","author":"li","year":"2015","journal-title":"CoRR"},{"key":"ref13","article-title":"Instrument activity detection in polyphonic music using deep neural networks","author":"gururani","year":"2018","journal-title":"Proc ISMIR"},{"key":"ref14","first-page":"135","article-title":"Frame-level instrument recognition by timbre and pitch","author":"hung","year":"2018","journal-title":"Proc IS-MIR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854599"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2871418"},{"key":"ref17","article-title":"Pypianoroll: Open source Python package for handling multitrack pianoroll","author":"dong","year":"0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2013.2285484"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2387388"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461686"},{"key":"ref3","article-title":"Deep salience representations for f0 estimation in polyphonic music","author":"bittner","year":"2017","journal-title":"Proc ISMIR"},{"key":"ref27","article-title":"mir_eval: A transparent implementation of common MIR metrics","author":"raffel","year":"2014","journal-title":"Proc ISMIR"},{"key":"ref6","article-title":"A comparison of sound segregation techniques for predominant instrument recognition in musical audio signals","author":"bosch","year":"2012","journal-title":"Proc ISMIR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2008.2007613"},{"key":"ref8","first-page":"776","article-title":"Audio Set: An ontology and human-labeled dataset for audio events","author":"gemmeke","year":"2017","journal-title":"Proc ICASSP"},{"key":"ref7","article-title":"OpenMIC-2018: An open dataset for multiple instrument recognition","author":"humphrey","year":"2018","journal-title":"Proc ISMIR"},{"key":"ref2","article-title":"Learning features of music from scratch","author":"thickstun","year":"2017","journal-title":"Proc Int Conf Learning Representations"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2042119"},{"key":"ref1","article-title":"MedleyDB: A multitrack dataset for annotation-intensive MIR research","author":"bittner","year":"2014","journal-title":"Proc ISMIR"},{"key":"ref20","article-title":"Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching","author":"raffel","year":"2016","journal-title":"Ph D thesis Columbia U"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2008.4518002"},{"key":"ref21","article-title":"Revisiting singing voice detection: A quantitative review and the future outlook","author":"lee","year":"2018","journal-title":"Proc ISMIR"},{"key":"ref24","article-title":"Constant-Q transform toolbox for music processing","author":"sch\u00f6rkhuber","year":"2010","journal-title":"Proc Sound and Music Computing Conf"},{"key":"ref23","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc MICCAI"},{"key":"ref26","year":"0","journal-title":"YouTube-8M"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-7b98e3ed-003"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Brighton, UK","start":{"date-parts":[[2019,5,12]]},"end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08683426.pdf?arnumber=8683426","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T19:14:38Z","timestamp":1756754078000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8683426\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8683426","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}