Speech emotion classification using SVM and MLP on prosodic and voice quality features

• Main Authors: Idris, Inshirah, Salam, Md. Sah, Sunar, Mohd. Shahrizal
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2016
• Subjects: QA76 Computer software
• 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
• Institution: Universiti Teknologi Malaysia

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...