{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:37:55Z","timestamp":1787312275057,"version":"build-2736575974"},"reference-count":94,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["421613952"],"award-info":[{"award-number":["421613952"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zentrales Innovationsprogramm Mittelstand","award":["16KN069455"],"award-info":[{"award-number":["16KN069455"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1109\/taffc.2021.3135152","type":"journal-article","created":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T15:43:59Z","timestamp":1639496639000},"page":"1472-1487","source":"Crossref","is-referenced-by-count":62,"title":["EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8293-6635","authenticated-orcid":false,"given":"Maurice","family":"Gerczuk","sequence":"first","affiliation":[{"name":"Chair of Embedded Intelligence for Health Care &#x0026; Wellbeing, Univeristy of Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1129-8223","authenticated-orcid":false,"given":"Shahin","family":"Amiriparian","sequence":"additional","affiliation":[{"name":"Chair of Embedded Intelligence for Health Care &#x0026; Wellbeing, Univeristy of Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6740-506X","authenticated-orcid":false,"given":"Sandra","family":"Ottl","sequence":"additional","affiliation":[{"name":"Chair of Embedded Intelligence for Health Care &#x0026; Wellbeing, Univeristy of Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bj\u00f6rn W.","family":"Schuller","sequence":"additional","affiliation":[{"name":"Chair of Embedded Intelligence for Health Care &#x0026; Wellbeing, Univeristy of Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"crossref","first-page":"189","DOI":"10.7551\/mitpress\/2697.003.0009","article-title":"Emotion and personality in a conversational agent","author":"ball","year":"2000","journal-title":"Embodied Conversational Agents"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1238"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/9780470512470.ch3"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3382507.3417964"},{"key":"ref15","first-page":"100","article-title":"Activity and emotion recognition to support early diagnosis of psychiatric diseases","author":"tacconi","year":"2008","journal-title":"Proc Int Conf on Pervasive Comput Technol Healthcare"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262170055.001.0001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2016.03.010"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3030497"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1772"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1037\/\/1528-3542.1.3.232-242"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCS.2017.8270472"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0160-2896(99)00016-1"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/SLT48900.2021.9383456"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2091640"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/DSR.2011.6026823"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-565"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-867"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-950"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952261"},{"key":"ref51","article-title":"Deep representation learning techniques for audio signal processing","author":"amiriparian","year":"2019"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462677"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2858"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1266"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1037\/h0077714"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1610"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-51"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-1082"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-3190"},{"key":"ref42","first-page":"34","article-title":"Attentional pooling for action recognition","author":"girdhar","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952132"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952552"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2015.2457417"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-2636"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1145\/3267935.3267948"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.23919\/APSIPA.2018.8659587"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2928625"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.518"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2190\/DUGG-P24E-52WK-6CDG"},{"key":"ref7","author":"young","year":"1936","journal-title":"Motivation and Work Behavior"},{"key":"ref9","author":"ciarrochi","year":"2006","journal-title":"Emotional Intelligence in Everyday Life"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/10909.001.0001"},{"key":"ref3","article-title":"Conversational AI: The science behind the Alexa prize","author":"ram","year":"2018"},{"key":"ref6","author":"woodworth","year":"1940","journal-title":"Psychology"},{"key":"ref5","author":"young","year":"1943","journal-title":"Emotion in Man and Animal its Nature and Relation to Attitude and Motive"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1050"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref40","first-page":"1263","article-title":"Attentive convolutional neural network based speech emotion recognition: A study on the impact of input features, signal length, and acted speech","author":"neumann","year":"2017","journal-title":"Proc Conf Int Speech Commun Assoc"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.21437\/Eurospeech.1997-494"},{"key":"ref83","article-title":"The smartkom multimodal corpus at BAS","author":"schiel","year":"2002","journal-title":"Proc Int Conf Lang Resour Eval"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.70.3.614"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2011.6163986"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1037\/a0025827"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2011-468"},{"key":"ref78","first-page":"271","article-title":"Introducing the geneva multimodal emotion portrayal (gemep) corpus","volume":"2010","author":"b\u00e4nziger","year":"2010","journal-title":"Blueprint for Affective Computing A Sourcebook"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.09.049"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2010.8"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.09.020"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-018-1048-1"},{"key":"ref30","first-page":"506","article-title":"Learning multiple visual domains with residual adapters","author":"rebuffi","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICDEW.2006.145"},{"key":"ref33","article-title":"Selecting training data for cross-corpus speech emotion recognition: Prototypicality vs. generalization","author":"schuller","year":"2011","journal-title":"Proc Afeka-AVIOS Speech Process Conf"},{"key":"ref77","article-title":"Releasing a thoroughly annotated and processed spontaneous emotional database: The FAU Aibo emotion corpus","volume":"2008","author":"batliner","year":"2008","journal-title":"Proc Satellite Workshop Int Conf Lang Resour Eval"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-012-9368-5"},{"key":"ref76","first-page":"3638","article-title":"Categorical versus dimensional perception of italian emotional speech","author":"parada-cabaleiro","year":"2018","journal-title":"Proc Conf Int Speech Commun Assoc"},{"key":"ref2","first-page":"241","article-title":"Alexa versus Siri versus Cortana versus Google Assistant: A comparison of speech-based natural user interfaces","author":"l\u00f3pez","year":"2017","journal-title":"Proc Int Conf Appl Hum Factors Ergonom"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/02763869.2018.1404391"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-736"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414896"},{"key":"ref71","article-title":"Automatische emotionserkennung aus sprachlicher und manueller interaktion","author":"schuller","year":"2006"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.21437\/Eurospeech.1997-482"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/2663204.2666275"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2005-446"},{"key":"ref24","first-page":"5","article-title":"Speech in minimal invasive surgery &#x2013; Towards an affective language resource of real-life medical operations","author":"schuller","year":"2010","journal-title":"Proc Int Workshop EMOTION (satellite of LREC) Corpora for Res Emotion Affect"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-012-0203-3"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2005.1521579"},{"key":"ref67","article-title":"The selected speech emotion database of Institute of Automation Chinese Academy of Sciences (CASIA)","year":"2010"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2858255"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3129340"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-019-09450-y"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/89.905995"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2013.2255278"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178934"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6393(96)00050-7"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6393(03)00099-2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S0065-2601(08)60369-X"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2007.366340"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2740923"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10772-011-9125-1"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00847"},{"key":"ref60","article-title":"Dataset shift in machine learning","author":"qui\u00f1onero-candela","year":"2009"},{"key":"ref62","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"0","journal-title":"Proc Int Conf Mac Learn"},{"key":"ref61","author":"sugiyama","year":"2017","journal-title":"Dataset Shift in Machine Learning"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/10138707\/09650773.pdf?arnumber=9650773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T08:29:10Z","timestamp":1726302550000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9650773\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":94,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2021.3135152","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,1]]}}}