Search. Read. Cite.

Easy to search. Easy to read. Easy to cite with credible sources.

Research Article
Modular Arithmetic and Wavelets for Speaker Verification

E.F. Khalaf, K. Daqrouq and M. Sherif

Journal of Applied Sciences, 2011, 11(15), 2782-2790.


The aim of this study is to concentrate on optimizing dimensionality of feature space by selecting the number of repeating the remainder (modular arithmetic) applied for a speech signal with Wavelet Packet (WP) upon level three features extraction method. The functions of features extraction and classification were performed using the modular arithmetic, wavelet packet and three verification functions (MWVS) expert system. This was accomplished by decreasing the number of feature vector elements of individual speaker obtained by using modular arithmetic and wavelet packet method (MWM) ( 285 elements). To investigate the performance of the proposed MWVS method, two other verification methods were proposed: Gaussian mixture model based method (GMMW) and K-Means clustering based method (KMM). The results indicated that a better verification rate for the text-independent system was accomplished by MWVS and GMMW. Better result was achieved (91.36%) in case of the speaker-speaker verification system. In case of white Gaussian noise (AWGN), it was observed that the MWVS system is generally more noise-robust in case of using approximate discrete wavelet transform sub-signal instead of the original signal. The system works in real time. This was performed by the recording apparatus and a data acquisition system (NI-6024E) and interfacing online with Matlab code that simulates the expert system. A major contribution of this study is the development of a less computational complexity speaker verification system with modular arithmetic capable of dealing with abnormal conditions for relatively good degree.

ASCI-ID: 35-4257

Cited References Fulltext

Related Articles

Block Matching Algorithms Based on Extended Mahalanobis Distance and Kullback-leiber Divergence for Motion Estimation

Journal of Applied Sciences, 2013, 13(4), 555-563.

Development and Test of Fixed Average K-means Base Decision Trees Grouping Method by Improving Decision Tree Clustering Method

Journal of Applied Sciences, 2009, 9(3), 528-534.

A Modified Tabu Search Approach for the Clustering Problem

Journal of Applied Sciences, 2011, 11(19), 3447-3453.

A Risk Matrix Approach Based on Clustering Algorithm

Journal of Applied Sciences, 2013, 13(20), 4188-4194.

Compression of Market Research Data Using Clustering

Journal of Applied Sciences, 2015, 15(2), 271-276.

Texture Characterisation and Classification Using Full Wavelet Decomposition

Journal of Applied Sciences, 2007, 7(12), 1566-1573.

Broken Bars Detection in Squirrel Cage Induction Motors Using Wavelet Theory

Journal of Applied Sciences, 2010, 10(6), 471-478.

Maternal ECG Cancellation in Abdominal Signal Using ANFIS and Wavelets

Journal of Applied Sciences, 2010, 10(11), 868-877.

Wavelet Packet and Percent of Energy Distribution with Neural Networks Based Gender Identification System

Journal of Applied Sciences, 2011, 11(16), 2940-2946.

Application of ECG Arrhythmia Classification by Means of Bayesian Theorem

Journal of Applied Sciences, 2014, 14(2), 165-170.

Wavelet Linear Prediction Coding with Feed Forward Backpropagation Neural Network for Noisy Speaker Identification System

Journal of Applied Sciences, 2014, 14(19), 2341-2349.

Lightning Impulse Waveform Parameters Abstraction Based on High Speed Filter

Journal of Applied Sciences, 2005, 5(10), 1809-1813.

Cited By

Reproducing Systems Generated by Finite Functions

Information Technology Journal, 2012, 11(6), 666. DOI: 10.3923/itj.2012.666.672