{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T17:28:22Z","timestamp":1767893302079,"version":"3.49.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10446496","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"76-80","source":"Crossref","is-referenced-by-count":12,"title":["SERC-GCN: Speech Emotion Recognition In Conversation Using Graph Convolutional Networks"],"prefix":"10.1109","author":[{"given":"Deeksha","family":"Chandola","sequence":"first","affiliation":[{"name":"York University,Lassonde School of Engineering,Toronto,Canada"}]},{"given":"Enas","family":"Altarawneh","sequence":"additional","affiliation":[{"name":"York University,Lassonde School of Engineering,Toronto,Canada"}]},{"given":"Michael","family":"Jenkin","sequence":"additional","affiliation":[{"name":"York University,Lassonde School of Engineering,Toronto,Canada"}]},{"given":"Manos","family":"Papagelis","sequence":"additional","affiliation":[{"name":"York University,Lassonde School of Engineering,Toronto,Canada"}]}],"member":"263","reference":[{"key":"ref1","first-page":"950","article-title":"Learning emotion-enriched word representations","volume-title":"Proceedings of the 27th COLING","author":"Agrawal"},{"key":"ref2","article-title":"Leveraging emotion features in news recommendations","author":"Babanejad","year":"2019","journal-title":"INRA@RecSys"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2023.3270115"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1968"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1858"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.05.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/s23062948"},{"key":"ref9","volume-title":"An extensible cloud based avatar: implementation and evaluation. In Recent Advances in Technologies for Inclusive Well-Being: Virtual Patients, Gamifaction and Simulation","author":"Altarawneh","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.woah-1.16"},{"key":"ref11","article-title":"Predicting Evoked Emotions in Conversations","author":"Altarawneh","year":"2023"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-3252"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1432"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413876"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1193"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952552"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054317"},{"key":"ref18","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"NAACL","author":"Devlin"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-1703"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874246"},{"key":"ref21","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume":"29","author":"Defferrard","year":"2016","journal-title":"NeurIPS"},{"key":"ref22","article-title":"How powerful are graph neural networks?","volume-title":"ICLR","author":"Xu"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-448"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-619"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1832"},{"key":"ref27","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"ICLR","author":"Kipf"},{"key":"ref28","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","volume-title":"33rd ICML","author":"Niepert"},{"key":"ref29","first-page":"4805","article-title":"Hierarchical graph representation learning with differentiable pooling","volume-title":"32nd ICONIP","author":"Ying"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2015-336"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU51503.2021.9687971"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2024,4,14]]},"end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10446496.pdf?arnumber=10446496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T05:19:30Z","timestamp":1722575970000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10446496\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10446496","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}