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Overlapping Frame Approach to Estimate and Reduce Noise from Single Channel Speech
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.8 No.4 (2015.04)바로가기
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- 페이지
- pp.49-58
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A245538
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Speech enhancement is a long standing problem with various applications like telephone conversation and speech recognition. The corruption of speech due to presence of additive background noise causes severe difficulties in various communication environments. If the background noise is evolving more slowly than the speech, then the estimation of the noise during speech pauses is easier as compared to non stationary noise. If in case the Noise is varying rapidly then estimation is more difficult. This paper focuses on the class of single-channel noise reduction methods that are performed with frequency domain using short-time Fourier Transform (STFT). There are number of publications and implementations on noise reduction systems. But, there are still some issues in non- stationary noisy systems. This single-channel approach is more dominant and effective approach for practical systems. From last few years, algorithms have been proposed for this problem but most of them are worked on noisy signal in current frame. So in this paper we are trying to propose the new model using Wiener filter by using the concept of multi-frame approach with different window sizes and overlaps. The proposed method shows the results with its superiority.
목차
Abstract
1. Introduction
2. Problem Formulation
3. Wiener Filter in Frequency Domain
4. A New Linear Model for Speech Spectral Estimation
5. Performance Measures
5.1. Optimal filters
6. Experimental Results
6.1. Set up and Metrics
6.2. Algorithm Implementation
6.3. Objective Speech Quality Measure
7. Conclusion
References
키워드
Log Likelihood ratio (LLR) weighted spectral slope (WSS) non stationary Signal to noise ratio speech enhancement저자
간행물 정보
발행기관
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- 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
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- 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.8 No.4
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