Development of Language Identification System using MFCC and Vector Quantization

被引：0

作者：

Gunawan, Teddy Surya ^{[1
]}

Husain, Rashida ^{[1
]}

Kartiwi, Mira ^{[2
]}

机构：

[1] Int Islamic Univ Malaysia, Elect & Comp Engn Dept, Kuala Lumpur, Malaysia

[2] Int Islamic Univ Malaysia, Informat Syst Dept, Kuala Lumpur, Malaysia

来源：

2017 IEEE 4TH INTERNATIONAL CONFERENCE ON SMART INSTRUMENTATION, MEASUREMENT AND APPLICATION (ICSIMA 2017) | 2017年

关键词：

Keywords language identification; MFCC; VQ; recognition rate;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper 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.

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页数：4

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