IIUM Repository

Evaluating the effect of voice activity detection in isolated Yoruba Word Recognition System

Aibinu, Abiodun Musa and Salami, Momoh Jimoh Eyiomika and Najeeb, Athaur Rahman and Azeez, J. F. and Rajin, S. M. Ataul Karim (2011) Evaluating the effect of voice activity detection in isolated Yoruba Word Recognition System. In: 4th International Conference on Mechatronics (ICOM), 17-19 May, 2011, Kuala Lumpur.

[img] PDF (Evaluating the effec of voice)
Restricted to Repository staff only

Download (128kB) | Request a copy


This paper discusses and evaluates the effect of voice Activity Detection (VAD) in an isolated Yoruba word ecognition system (IYWRS). The word database used in this paper are collected from 22 speakers by repeating the numbers 1 to 9 three times each. A hybrid configuration of Mel-Frequency Cepstral coefficient (MFCC) and Linear Predictive Coding (LPC) have been used to extract the features of the speech samples. Artificial Neural Network algorithms are then used to classify these features. An overall accuracy of about 60% has been achieved from the two proposed feature extraction methods.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6472/1761 DOI: 10.1109/ICOM.2011.5937134 ISBN: 978-1-61284-437-4
Uncontrolled Keywords: voice activity detection, Yoruba Word Recognition System
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Dr Abiodun Musa Aibinu
Date Deposited: 08 Sep 2011 16:17
Last Modified: 14 May 2012 11:26
URI: http://irep.iium.edu.my/id/eprint/1761

Actions (login required)

View Item View Item


Downloads per month over past year