현재 위치
Home
A Review on Automatic Speech Recognition Architecture and Approaches
-
- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
-
- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
-
- 통권
- Vol.9 No.4 (2016.04)바로가기
-
- 페이지
- pp.393-404
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A273273
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Speech is the most natural communication mode for human beings. The task of speech recognition is to convert speech into a sequence of words by a computer program. Speech recognition applications enable people to use speech as another input mode to interact with applications with ease and effectively. Speech recognition interfaces in native language will enable the illiterate/semi-literate people to use the technology to greater extent without the knowledge of operating with computer keyboard or stylus. For more than three decades, a great amount of research was carried out on various aspects of speech recognition and its applications. Today many products have been developed that successfully utilize automatic speech recognition for communication between human and machines. Performance of speech recognition applications deteriorates in the presence of reverberation and even low levels of ambient noise. Robustness to noise, reverberation and characteristics of the transducer is still an unsolved problem that makes the research in the area of speech recognition still very active. A detailed study on automatic speech recognition is carried out and presented in this paper that covers the architecture, speech parameterization, methodologies, characteristics, issues, databases, tools and applications.
목차
Abstract
1. Introduction
2. Probability Theory of Speech Recognition
3. Speech Recognition Architecture
3.1 Acoustic Front-end
3.2 Acoustic Model
3.3 Language Model
3.4 Decoder
4. Speech Recognition Methodologies
5. Characteristics of Speech Recognition Systems
6. Challenges in Speech Recognition
7. Applications of Speech Recognition
8. Databases and Tools for Speech Recognition
8.1 Speech Databases
8.2 Speech Recognition Tools
9. Measures of Performance
10. Conclusion
References
키워드
Automatic Speech Recognition Acoustic Model Language Model Acoustic Front-end Decoder Generative and Discriminative Learning Deep Learning저자
간행물 정보
발행기관
-
- 발행기관명
- 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 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.4
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
출처 : 네이버학술정보
0개의 논문이 장바구니에 담겼습니다.