{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:05:36Z","timestamp":1760709936189,"version":"3.37.3"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672267"],"award-info":[{"award-number":["61672267"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Projects of the National Natural Science Foundation of China","award":["U1836220"],"award-info":[{"award-number":["U1836220"]}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20170558"],"award-info":[{"award-number":["BK20170558"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2924597","type":"journal-article","created":{"date-parts":[[2019,6,25]],"date-time":"2019-06-25T16:55:26Z","timestamp":1561481726000},"page":"93847-93857","source":"Crossref","is-referenced-by-count":16,"title":["Dual Exclusive Attentive Transfer for Unsupervised Deep Convolutional Domain Adaptation in Speech Emotion Recognition"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9939-8132","authenticated-orcid":false,"given":"Elias Nii Noi","family":"Ocquaye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qirong","family":"Mao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heping","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guopeng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanfei","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2013.2255278"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2672722"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/computation5020026"},{"journal-title":"A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks","year":"2017","author":"niu","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/PlatCon.2017.7883728"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ChiCC.2015.7260207"},{"key":"ref37","first-page":"513","article-title":"Domain adaptation for large-scale sentiment classification: A deep learning approach","author":"glorot","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2012.6424230"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2883078"},{"key":"ref34","first-page":"1","article-title":"DLID: Deep learning for domain adaptation by interpolating between domains","volume":"2","author":"chopra","year":"2013","journal-title":"Proc ICML Workshop Challenges Represent Learn"},{"key":"ref28","first-page":"1096","article-title":"Unsupervised feature learning for audio classification using convolutional deep belief networks","author":"lee","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CETIC4.2018.8530947"},{"key":"ref29","first-page":"27","article-title":"Speaker identification using spectrograms of varying frame sizes","volume":"50","author":"kekre","year":"2012","journal-title":"Int J Comput Appl"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1872"},{"key":"ref20","article-title":"Evaluating gammatone frequency cepstral coefficients with neural networks for emotion recognition from speech","author":"liu","year":"2018","journal-title":"arXiv 1806 09010"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2005.02.018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CETIC4.2018.8531065"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2012.05.007"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2012.01.008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2888882"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2010.2100380"},{"key":"ref50","first-page":"1517","article-title":"A database of German emotional speech","author":"burkhardt","year":"2005","journal-title":"Proc 9th Eur Conf Speech Commun Technol"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2007.366340"},{"key":"ref59","first-page":"3221","article-title":"Accelerating t-SNE using tree-based algorithms","volume":"15","author":"van der maaten","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref58","article-title":"Barnes-Hut-SNE","author":"van der maaten","year":"2013","journal-title":"arXiv 1301 3342"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2013.90"},{"key":"ref56","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2014.2325029"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638344"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854517"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/978-3-319-58347-1_8","article-title":"Correlation alignment for unsupervised domain adaptation","author":"sun","year":"2017","journal-title":"Domain adaptations for computer vision applications"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/BigMM.2018.8499077"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.451"},{"key":"ref12","article-title":"Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer","author":"zagoruyko","year":"2016","journal-title":"arXiv 1612 03928"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123292"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462162"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2014.2360798"},{"key":"ref16","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"Proc Int Conf Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2010.8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2009.2017438"},{"key":"ref19","article-title":"Gender identification using MFCC for telephone applications—A comparative study","author":"ahmad","year":"2016","journal-title":"arXiv 1601 01577"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2818794"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2014.2325029"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2880197"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2303296"},{"journal-title":"Deep domain confusion Maximizing for domain invariance","year":"2014","author":"tzeng","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2134090"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2009-103"},{"key":"ref9","article-title":"Feature learning in deep neural networks—Studies on speech recognition tasks","author":"yu","year":"2013","journal-title":"arXiv 1301 3605"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2017.06.006"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3354-x"},{"key":"ref48","article-title":"Beyond sharing weights for deep domain adaptation","author":"rozantsev","year":"2016","journal-title":"arXiv 1603 06432"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995347"},{"key":"ref42","first-page":"2795","article-title":"Unsupervised domain adaptation with distribution matching machines","author":"cao","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0693-1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2672753"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2324759"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08744334.pdf?arnumber=8744334","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T00:54:09Z","timestamp":1643244849000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8744334\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2924597","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}