Show simple item record

dc.contributor.authorM. N., Hasrul
dc.contributor.authorHariharan, Muthusamy
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.date.accessioned2013-10-25T14:39:35Z
dc.date.available2013-10-25T14:39:35Z
dc.date.issued2012-06-18
dc.identifier.citationp. 1073-1076en_US
dc.identifier.isbn978-967-5760-11-2
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/29176
dc.descriptionThe 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.en_US
dc.description.abstractThere are many methods that are commonly used by researches in order to recognize speech of human emotion. In this paper, Surrey audio-visual expressed emotion (SAVEE) database are used for the analysis. The Mel-Frequency Cepstrum Coefficient (MFCC), Linear Predictive Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and Weighted Linear Prediction Cepstral Coefficients (WLPCC) are extracted from these speech signals. Principle component analysis (PCA) and linear discriminant analysis (LDA) is method used to selected features. Seven typical emotions for SAVEE classified with k-nearest neighbour (kNN).en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the the 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012);
dc.subjectSpeech emotion recognitionen_US
dc.subjectMel-Frequency Cepstrum Coefficient (MFCC)en_US
dc.subjectLinear Predictive Coefficients (LPC)en_US
dc.subjectLinear Prediction Cepstral Coefficients (LPCC)en_US
dc.subjectWeighted Linear Prediction Cepstral Coefficients (WLPCC)en_US
dc.subjectlinear discriminant analysis (LDA)en_US
dc.subjectPrinciple component analysis (PCA)en_US
dc.subjectk-nearest neighbour (kNN)en_US
dc.titleSpeech emotion recognition using kNN classifieren_US
dc.typeWorking Paperen_US
dc.contributor.urlkids.hasrul@gmail.comen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record