{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:08:58Z","timestamp":1775146138840,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"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":[[2022,10,18]]},"DOI":"10.1109\/acii55700.2022.9953852","type":"proceedings-article","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T17:41:10Z","timestamp":1669398070000},"page":"1-8","source":"Crossref","is-referenced-by-count":14,"title":["Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals"],"prefix":"10.1109","author":[{"given":"Juan","family":"Vazquez-Rodriguez","sequence":"first","affiliation":[{"name":"Univ. Grenoble Alpes,Orange Labs,Grenoble,France"}]},{"given":"Gregoire","family":"Lefebvre","sequence":"additional","affiliation":[{"name":"Orange Labs,Grenoble,France"}]},{"given":"Julien","family":"Cumin","sequence":"additional","affiliation":[{"name":"Orange Labs,Grenoble,France"}]},{"given":"James L.","family":"Crowley","sequence":"additional","affiliation":[{"name":"Univ. Grenoble Alpes,CNRS, Inria, Grenoble INP, LIG,Grenoble,France"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Tune: A Research Platform for Distributed Model Selection and Training","author":"liaw","year":"2018","journal-title":"ArXiv"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.211"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827072"},{"key":"ref10","article-title":"Attention is All you Need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM47256.2019.8983326"},{"key":"ref12","first-page":"4171","article-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","author":"devlin","year":"2019","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Volume 1 (Long and Short Papers)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00756"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413668"},{"key":"ref15","article-title":"Transformer-Based Self-Supervised Learning for Emotion Recognition","author":"vazquez-rodriguez","year":"2022","journal-title":"ArXiv"},{"key":"ref16","article-title":"An Inter-domain Study for Arousal Recognition from Physiological Signals","volume":"42","author":"gjoreski","year":"2018","journal-title":"Informatica"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/s20030718"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2883213"},{"key":"ref19","first-page":"1","article-title":"A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat","author":"harper","year":"2020","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683290"},{"key":"ref4","article-title":"Jointly Fine-Tuning “BERT-like” Self Supervised Models to Improve Multi-modal Speech Emotion Recognition","author":"siriwardhana","year":"2020","journal-title":"ArXiv"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46672-9_58"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3026823"},{"key":"ref6","first-page":"1","article-title":"AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups","author":"correa","year":"2018","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2014.47"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SLT48900.2021.9383618"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03462-9"},{"key":"ref7","first-page":"1","article-title":"Utilizing Deep Learning To-wards Multi-modal Bio-sensing and Vision-based Affective Computing","author":"siddharth","year":"2019","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.214"},{"key":"ref9","first-page":"201","article-title":"Why Does Unsupervised Pre-training Help Deep Learning?","author":"erhan","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics JMLR Workshop and Conference Proceedings"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/EMS.2011.20"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967286"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3036877"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2019.8925444"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3267305.3267687"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2914872"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053985"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1656"}],"event":{"name":"2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)","location":"Nara, Japan","start":{"date-parts":[[2022,10,18]]},"end":{"date-parts":[[2022,10,21]]}},"container-title":["2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9953736\/9953807\/09953852.pdf?arnumber=9953852","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T15:03:43Z","timestamp":1671462223000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9953852\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/acii55700.2022.9953852","relation":{},"subject":[],"published":{"date-parts":[[2022,10,18]]}}}