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Language Identification System using Matlab

Design, Implementation, and Sample Codes

Language EnglishEnglish
Book Paperback
Book Language Identification System using Matlab Rashida Husain
Libristo code: 18641267
Publishers LAP Lambert Academic Publishing, November 2016
This book investigates the development of language identification based on Mel-Frequency Cepstral Co... Full description
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This book investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm using Matlab. 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.

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About the book

Full name Language Identification System using Matlab
Language English
Binding Book - Paperback
Date of issue 2017
Number of pages 96
EAN 9786202065313
Libristo code 18641267
Weight 161
Dimensions 150 x 220 x 6
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