{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T21:40:02Z","timestamp":1749591602834,"version":"3.41.0"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1109\/icmew.2016.7574773","type":"proceedings-article","created":{"date-parts":[[2016,9,26]],"date-time":"2016-09-26T22:06:31Z","timestamp":1474927591000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Combining feature selection and representation for speech emotion recognition"],"prefix":"10.1109","author":[{"family":"Wenjing Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Huabin Ruan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Xiaojie Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Xuan Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"54006","article-title":"Fast and accurate sequential floating forward feature selection with the bayes classifier applied to speech emotion recognition","volume":"13","author":"ververidis","year":"1958","journal-title":"Signal Processing"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178872"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"2230","DOI":"10.21437\/Interspeech.2012-128","article-title":"Using i-vector space model for emotion recognition","author":"xia","year":"2012","journal-title":"InterSpeech"},{"key":"ref13","first-page":"1531","article-title":"Large scale multiple kernel learning","volume":"7","author":"sonnenburg","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref14","first-page":"3371","article-title":"S-tacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2015","journal-title":"Journal of Machine Learning Research"},{"key":"ref15","first-page":"1517","article-title":"A database of German emotional speech","author":"felix","year":"2005","journal-title":"InterSpeech"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2008.4607572"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2010.8"},{"key":"ref18","first-page":"2794","article-title":"The interspeech 2010 paralinguistic challenge","author":"bjorn","year":"2010","journal-title":"lnterspeech"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874246"},{"key":"ref4","article-title":"The INTER-SPEECH 2014 computational paralinguistica challenge: Cognitive & physical load","author":"schuller","year":"2014","journal-title":"lnterspeech"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854515"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2005.847389"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"2886","DOI":"10.21437\/Interspeech.2013-256","article-title":"Using denoising autoencoder for emotion recognition","author":"xia","year":"2013","journal-title":"InterSpeech"},{"key":"ref8","first-page":"856","article-title":"Feature selection for high-dimensional data: A fast correlation-based filter solution","author":"yu","year":"0"},{"journal-title":"Introduction to statistical pattern recognition","year":"1972","author":"fukunaga","key":"ref7"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"2044","DOI":"10.21437\/Interspeech.2013-484","article-title":"Affect recognition in real-life acoustic conditions - a new perspective on feature selection","author":"eyben","year":"2013","journal-title":"InterSpeech"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.patrec.2014.11.007","article-title":"Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data","volume":"66","author":"ringeval","year":"2014","journal-title":"Pattern Recognition Letters"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2005.1521560"}],"event":{"name":"2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","start":{"date-parts":[[2016,7,11]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2016,7,15]]}},"container-title":["2016 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7569794\/7574653\/07574773.pdf?arnumber=7574773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T21:26:16Z","timestamp":1749590776000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7574773\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icmew.2016.7574773","relation":{},"subject":[],"published":{"date-parts":[[2016,7]]}}}