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dc.contributor.authorMurugesa Pandiyan, Paulraj, Prof. Madya Dr,
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorMuthusamy, Hariharan, Dr.
dc.date.accessioned2011-10-28T07:31:37Z
dc.date.available2011-10-28T07:31:37Z
dc.date.issued2008-03-08
dc.identifier.citationp. 1-4en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/15123
dc.descriptionOrganized by Universiti Malaysia Perlis (UniMAP), 8th - 10th March 2008 at Putra Brasmana, Perlis, Malaysia.en_US
dc.description.abstractIn the evolution of quality of speech, acoustic analyses of normal and pathological voices have become increasingly interesting to researchers in laryngology and speech pathologies. Vocal signal information plays an important role to understand the process of vocal fold pathology formation. Noninvasive acoustical analysis of vocal signal helps to perform accurate diagnoses of voice disorders. This paper presents a feature extraction method using band energy spectrum and wavelet analysis for the diagnosis of vocal pathology. Two simple neural network models are developed for testing the feature extraction procedure and for the classification of pathological voices. The simulation results indicate that the proposed algorithms distinguish the voice as pathological or a non-pathological voice accurately and the proposed method can be used as diagnosis tool for the detection of voice disorders.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the Malaysian Universities Conference on Engineering and Technology (MUCET2008)en_US
dc.subjectAcoustic analysisen_US
dc.subjectBand energy spectrumen_US
dc.subjectWavelet transformen_US
dc.subjectNeural networken_US
dc.titleDiagnosis of voice disorders using band energy spectrum in wavelet domainen_US
dc.typeWorking Paperen_US
dc.contributor.urlpaul@unimap.edu.myen_US
dc.contributor.urlsazali@gmail.comen_US
dc.contributor.urlwavelet.hari@gmail.comen_US


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