Emotion Recognition Using Intrasegmental Features of Continuous Speech

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dc.contributor.author Tian, L en
dc.contributor.author Watson, Catherine en
dc.contributor.editor Epps, J en
dc.contributor.editor Wolfe, J en
dc.contributor.editor Smith, J en
dc.contributor.editor Jones, C en
dc.coverage.spatial Sydney, Australia en
dc.date.accessioned 2019-10-29T20:11:04Z en
dc.date.issued 2018-12-04 en
dc.identifier.issn 2207-1296 en
dc.identifier.uri http://hdl.handle.net/2292/48750 en
dc.description.abstract This paper proposed a new emotion recognition system using intrasegmental features, extracted from long monophthongs in continuous speech. 36 vocal tract features and 11 glottal source features were initially extracted and an optimal subset was selected using Maximum Relevance Minimal Redundancy Backward Wrapping (MRMRBW). A newly constructed JL corpus was used to evaluate the system performance. Five different classifiers were considered. By using the optimal classifier, we achieved recognition accuracy of 70.5% regardless of vowel types for five different emotions. en
dc.description.uri http://sst2018.unsw.edu.au/ en
dc.relation.ispartof 17th Speech Science and Technology Conference (SST2018) en
dc.relation.ispartofseries Proceedings of the Seventeenth Australasian International Conference on Speech Science and Technology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Emotion Recognition Using Intrasegmental Features of Continuous Speech en
dc.type Conference Item en
pubs.begin-page 61 en
dc.rights.holder Copyright: The author en
pubs.author-url http://sst2018.unsw.edu.au/SST_proceedings/SST_2018_Proceedings_Rev_A_IDX.pdf en
pubs.end-page 64 en
pubs.finish-date 2018-12-07 en
pubs.start-date 2018-12-04 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Proceedings en
pubs.elements-id 780817 en
pubs.org-id Engineering en
pubs.org-id Department of Electrical, Computer and Software Engineering en
pubs.record-created-at-source-date 2019-09-13 en
pubs.online-publication-date 2018-12-04 en


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