Intelligence system design for classification of regional dialects / Shah Rizam Mohd Shah Baki, Mohd Nasir Taib and Mohd Azri Abd Aziz.

Mohd Shah, Shah Rizam (Prof. Ir Dr.) and Taib, Mohd Nasir (Prof. Dr.) and Abd Aziz, Mohd Azri (2006) Intelligence system design for classification of regional dialects / Shah Rizam Mohd Shah Baki, Mohd Nasir Taib and Mohd Azri Abd Aziz. [Research Reports] (Unpublished)

Abstract

With the advent of notebook and hand held computers in the consumer market, dialect-input system will gain prominence in the future over keyboard and penbased system. This report presents an intelligent dialect classifier using Waveletbased Fuzzy system: The use of wavelet to capture important time and frequency feature for the speech. The classification for the Malaysian regional Dialect is achieved by using fuzzy set and their associated membership functions. The overall performance of the wavelet-based Fuzzy system is able to classify the regional dialect. The simple dialect classification can be implement with a personal computer and once a limited system has been implemented, using faster computer and specialized hardware as necessary can scale its capabilities.

Metadata

Item Type: Research Reports
Creators:
Creators
Email / ID Num.
Mohd Shah, Shah Rizam (Prof. Ir Dr.)
UNSPECIFIED
Taib, Mohd Nasir (Prof. Dr.)
UNSPECIFIED
Abd Aziz, Mohd Azri
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Keywords: Regional dialects, Intelligence system design, Fuzzy set
Date: 2006
URI: https://ir.uitm.edu.my/id/eprint/48819
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