Language identification system using Matlab: design, implementation, and sample codes

Husain, Rashida and Gunawan, Teddy Surya and Kartiwi, Mira (2017) Language identification system using Matlab: design, implementation, and sample codes. LAP LAMBERT Academic Publishing. ISBN 978-620-2-06531-3

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Abstract

This book investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. In this study, a total of ten speakers were chosen randomly with different languages from online language database. A total of six males and four females were selected as subjects for this research and each of them spoke different languages, including Arabic, Chinese, English, Korean and Malay. The MFCC will be extracted to derive the related feature vector. Vector Quantization (VQ) algorithm is then used as classifier. The recognition rate is then calculated for each language. Several experiments were conducted to find the optimum parameters, in which we found that sampling frequency of 16000 Hz and codebook size of 75 provided good results. On average, the recognition rate for all five languages evaluated was 78%. The experimental results show that our proposed system provides a good recognition rate. This book provided samples of Matlab implementation code for language identification system.

Item Type:	Book
Additional Information:	5588/58903
Uncontrolled Keywords:	language identification
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	27 Oct 2017 10:30
Last Modified:	27 Oct 2017 10:30
URI:	http://irep.iium.edu.my/id/eprint/58903

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