{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T14:10:54Z","timestamp":1773843054842,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"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":[[2021,12,5]]},"DOI":"10.1109\/ssci50451.2021.9659979","type":"proceedings-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T21:09:51Z","timestamp":1643058591000},"page":"01-07","source":"Crossref","is-referenced-by-count":38,"title":["1D CNN Architectures for Music Genre Classification"],"prefix":"10.1109","author":[{"given":"Safaa","family":"Allamy","sequence":"first","affiliation":[]},{"given":"Alessandro Lameiras","family":"Koerich","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","first-page":"316","article-title":"FMA: A dataset for music analysis","author":"defferrard","year":"0","journal-title":"18th Int Soc for Music Info Retrieval Conf"},{"key":"ref30","article-title":"Intl Telecommunications Union, Algorithms to measure audio programme loudness and true-peak audio level","year":"2015","journal-title":"Recommendation ITU-R BS"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.12.024"},{"key":"ref11","first-page":"1","article-title":"End-to-end learning for music audio tagging at scale","author":"pons","year":"0","journal-title":"Int Conf Music Inf Retrieval"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/app8010150"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2019.2909479"},{"key":"ref14","first-page":"1","article-title":"Cross-representation transferability of adversarial attacks: From spectrograms to audio waveforms","author":"koerich","year":"0","journal-title":"Intl Joint Conf on Neural Networks"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.06.040"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IWSSIP.2013.6623448"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462046"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2012.04.023"},{"key":"ref19","first-page":"511","article-title":"Improving the reliability of music genre classification using rejection and verification","author":"koerich","year":"0","journal-title":"Int Conf Music Inf Retrieval"},{"key":"ref28","first-page":"23","article-title":"Multi-label music genre classification from audio, text and images using deep features","author":"oramas","year":"0","journal-title":"18th Int Soc for Music Info Retrieval Conf"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.62"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68121-4_19"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2004.1398359"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2006.1598089"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2005.1571204"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854950"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1590\/S0104-65002008000300002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2002.800560"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952585"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.09.014"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2956591"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2015-1"},{"key":"ref21","first-page":"1","article-title":"From sound representation to model robustness","author":"esmaeilpour","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-256"},{"key":"ref23","article-title":"Wav2letter: an end-to-end convnet-based speech recognition system","volume":"abs 1609 3193","author":"collobert","year":"2016","journal-title":"CoRR"},{"key":"ref26","first-page":"451","article-title":"The latin music database","author":"silla","year":"2008","journal-title":"Int Conf Music Inf Retrieval"},{"key":"ref25","article-title":"Learning features of music from scratch","author":"thickstun","year":"0","journal-title":"Int Conf Learn Represent"}],"event":{"name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","location":"Orlando, FL, USA","start":{"date-parts":[[2021,12,5]]},"end":{"date-parts":[[2021,12,7]]}},"container-title":["2021 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9659537\/9659538\/09659979.pdf?arnumber=9659979","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:29Z","timestamp":1652201789000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9659979\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,5]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ssci50451.2021.9659979","relation":{},"subject":[],"published":{"date-parts":[[2021,12,5]]}}}