Objective Gender and Age Recognition from Speech Sentences

In this work, an automatic gender and age recognizer from speech is investigated. The relevant features to gender recognition are selected from the first four formant frequencies and twelve MFCCs and feed the SVM classifier. While the relevant features to age has been used with k-NN classifier for t...

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Bibliographic Details
Main Author: Fatima K. Faek
Format: Article
Language:English
Published: Koya University 2016-05-01
Series:ARO-The Scientific Journal of Koya University
Subjects:
Online Access:http://aro.koyauniversity.org/article/view/30