Eslam Mansour mohammed, Mohammed Sharaf Sayed, Abdallaa Mohammed Moselhy, Abdelaziz Alsayed Abdelnaiem
언어
영어(ENG)
URL
https://www.earticle.net/Article/A208897
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
Automatic language identification plays an essential role in wide range of multi-lingual services. Automatic translators to certain language or routing an incoming telephone call to a human switchboard operator fluent in the corresponding language are examples of these applications that require automatic language identification. This paper investigates the usage of Linear Predictive Coding (LPC) and/or Mel Frequency Cepstral Coefficients (MFCC) with Artificial Neural Network (ANN) for automatic language identification. Different orders for the LPC and MFCC have been tested. In addition, different hidden layers, different neurons in every hidden layers and different transfer functions have been tested in the ANN. Three languages; Arabic, English and French have been used in this paper to evaluate the performance of the automatic language identification systems.
목차
Abstract 1. Introduction 2. Feature Extraction Techniques 3. Recognition and Identification using Artificial Neural Network 4. Steps of Identification and Recognition System 5. Experimental and Numerical Results 6. Conclusion and Discussion References
키워드
Automatic language identificationLinear Predictive CodingMel Frequency Cepstral CoefficientsArtificial Neural Network
저자
Eslam Mansour mohammed [ Department of Electrical and Computer Engineering, Higher Technological Institute ]
Mohammed Sharaf Sayed [ Department of Electronics and Communications Engineering, Zagazig University ]
Abdallaa Mohammed Moselhy [ Department of Electrical and Computer Engineering, Higher Technological Institute ]
Abdelaziz Alsayed Abdelnaiem [ Department of Electronics and Communications Engineering, Zagazig University ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.3