지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
A noise suppression algorithm is proposed for nonstationary noisy environments. The proposed algorithm is different from the conventional approaches such as the spectral subtraction algorithm and the minimum statistics noise estimation algorithm in that it classifies speech and noise signals in time-frequency bins. It calculates the ratio of the variance of the noisy power spectrum in time-frequency bins to its normalized time-frequency average. If the ratio is greater than an adaptive threshold, speech is considered to be present. Our adaptive algorithm tracks the threshold and controls the trade-off between residual noise and distortion. The estimated clean speech power spectrum is obtained by a modified gain function and the updated noisy power spectrum of the time-frequency bin. This new algorithm has the advantages of simplicity and light computational load for estimating the noise. This algorithm reduces the residual noise significantly, and is superior to the conventional methods.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Noise Estimation based on Standard Deviation and Sigmoid Function Using a Posteriori Signal to Noise Ratio in Nonstationary Noisy Environments
International Journal of Control Automation and Systems
2008 .12
-
Noise Estimation based on Standard Deviation and Sigmoid Function Using a Posteriori Signal to Noise Ratio in Nonstationary Noisy Environments
International Journal of Control, Automation, and Systems
2008 .12
-
Noise Reduction Using the Standard Deviation of the Time-Frequency Bin and Modified Gain Function for Speech Enhancement in Stationary and Nonstationary Noisy Environments
한국음향학회지
2007 .01
-
Noise Reduction Algorithm using the Linear Regression(LR) Estimator Thresholds for Speech Enhancement
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2007 .07
-
Speech Enhancement Using Multiple Kalman Filter
한국음향학회 워크샵
1998 .01
-
2차원 이진 마스크를 이용한 적응형 음성향상 잡음 제거기
멀티미디어학회논문지
2016 .07
-
심리음향 특성을 이용한 음성 향상 알고리즘
전기학회논문지
2010 .06
-
음성강화를 위한 시간 및 주파수 도메인의 분산정규화 기반 잡음예측 및 저감방법
전자공학회논문지-SP
2009 .01
-
Weight - Update - Control Adaptive Noise Canceller for speech enhancement in noisy factory
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2007 .07
-
잡음에 강인한 음성인식시스템의 구현을 위한 주파수 영역의 잡음억제 모델
Proceedings of KIIT Conference
2018 .06
-
밴드 별 잡음 특징을 이용한 골전도 음성신호의 잡음 제거 알고리즘
멀티미디어학회논문지
2016 .02
-
Noise Power Estimation by Adaptively Thresholding Wavelet Packets
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2009 .07
-
Noisy Speech Recognition Based on Noise-Adapted HMMs Using Speech Feature Compensation
융합신호처리학회 논문지
2014 .01
-
Minimum Statistics-Based Noise Power Estimation for Parametric Image Restoration
IEIE Transactions on Smart Processing & Computing
2014 .04
-
Classical Tamil Speech Enhancement with Modified Threshold Function using Wavelets
Journal of Electrical Engineering & Technology
2016 .11
-
SPEECH ENHANCEMENT BY FREQUENCY-WEIGHTED BLOCK LMS ALGORITHM
한국음향학회 학술발표대회
1985 .01
-
Removal Of Noise From Speech Using Wavelet Transform
Journal of Electrical Engineering and Information Science
1999 .06
-
Speech Enhancement Using Level Adapted Wavelet Packet with Adaptive Noise Estimation
한국음향학회지
2003 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0