A Wind-Noise Suppressor with SNR Based Wind-Noise Detection and Speech-Wind Discrimination

Masanori KATO  Akihiko SUGIYAMA  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E101-A   No.10   pp.1638-1645
Publication Date: 2018/10/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E101.A.1638
Type of Manuscript: PAPER
Category: Digital Signal Processing
Keyword: 
wind noise,  noise suppressor,  SNR based detection,  spectral gain modification,  speech-wind discrimination,  

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Summary: 
A wind-noise suppressor with SNR based wind-noise detection and speech-wind discrimination is proposed. Wind-noise detection is performed in each frame and frequency based on the power ratio of the noisy speech and an estimated stationary noise. The detection result is modified by speech presence likelihood representing spectral smoothness to eliminate speech components. To suppress wind noise with little speech distortion, spectral gains are made smaller in the frame and the frequency where wind-noise is detected. Subjective evaluation results show that the 5-grade MOS for the proposed wind-noise suppressor reaches 3.4 and is 0.56 higher than that by a conventional noise suppressor with a statistically significant difference.