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

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 f...

Full description

Bibliographic Details
Main Authors: Husain, Rashida, Gunawan, Teddy Surya, Kartiwi, Mira
Format: Book
Language:English
Published: LAP LAMBERT Academic Publishing 2017
Subjects:
Online Access:http://irep.iium.edu.my/58903/
http://irep.iium.edu.my/58903/1/Pages%20from%20978-620-2-06531-3_LID%20using%20Matlab.pdf
id iium-58903
recordtype eprints
spelling iium-589032017-10-27T02:30:40Z http://irep.iium.edu.my/58903/ Language identification system using Matlab: design, implementation, and sample codes Husain, Rashida Gunawan, Teddy Surya Kartiwi, Mira TK Electrical engineering. Electronics Nuclear engineering 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. LAP LAMBERT Academic Publishing 2017-10-25 Book PeerReviewed application/pdf en http://irep.iium.edu.my/58903/1/Pages%20from%20978-620-2-06531-3_LID%20using%20Matlab.pdf 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Husain, Rashida
Gunawan, Teddy Surya
Kartiwi, Mira
Language identification system using Matlab: design, implementation, and sample codes
description 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.
format Book
author Husain, Rashida
Gunawan, Teddy Surya
Kartiwi, Mira
author_facet Husain, Rashida
Gunawan, Teddy Surya
Kartiwi, Mira
author_sort Husain, Rashida
title Language identification system using Matlab: design, implementation, and sample codes
title_short Language identification system using Matlab: design, implementation, and sample codes
title_full Language identification system using Matlab: design, implementation, and sample codes
title_fullStr Language identification system using Matlab: design, implementation, and sample codes
title_full_unstemmed Language identification system using Matlab: design, implementation, and sample codes
title_sort language identification system using matlab: design, implementation, and sample codes
publisher LAP LAMBERT Academic Publishing
publishDate 2017
url http://irep.iium.edu.my/58903/
http://irep.iium.edu.my/58903/1/Pages%20from%20978-620-2-06531-3_LID%20using%20Matlab.pdf
first_indexed 2023-09-18T21:23:22Z
last_indexed 2023-09-18T21:23:22Z
_version_ 1777412029450027008