Speech emotion classification using SVM and MLP on prosodic and voice quality features
In this paper, a comparison of emotion classification undertaken by the Support Vector Machine (SVM) and the Multi-Layer Perceptron (MLP) Neural Network, using prosodic and voice quality features extracted from the Berlin Emotional Database, is reported. The features were extracted using PRAAT tools...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/71237/1/MdSahSalam2016_SpeechemotionclassificationusingSVM.pdf http://eprints.utm.my/id/eprint/71237/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960154852&doi=10.11113%2fjt.v78.6925&partnerID=40&md5=077bb5e73345f665103c0fb5d9df3473 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |