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...
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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 |
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TK Electrical engineering. Electronics Nuclear engineering |
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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 |