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홈 홈 > 연구문헌 > 영문 논문지 > JIPS (한국정보처리학회)

JIPS (한국정보처리학회)

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한글제목(Korean Title) Research on Noise Reduction Algorithm Based on Combination of LMS Filter and Spectral Subtraction
영문제목(English Title) Research on Noise Reduction Algorithm Based on Combination of LMS Filter and Spectral Subtraction
저자(Author) Danyang Cao   Zhixin Chen   Xue Gao  
원문수록처(Citation) VOL 15 NO. 04 PP. 0748 ~ 0764 (2019. 08)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
In order to deal with the filtering delay problem of least mean square adaptive filter noise reduction algorithm and music noise problem of spectral subtraction algorithm during the speech signal processing, we combine these two algorithms and propose one novel noise reduction method, showing a strong performance on par or even better than state of the art methods. We first use the least mean square algorithm to reduce the average intensity of noise, and then add spectral subtraction algorithm to reduce remaining noise again. Experiments prove that using the spectral subtraction again after the least mean square adaptive filter algorithm overcomes shortcomings which come from the former two algorithms. Also the novel method increases the signal-to-noise ratio of original speech data and improves the final noise reduction performance.
키워드(Keyword) Least Mean Square Adaptive Filter   Speech Signal Processing   Signal-to-Noise Ratio  
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