Presentation 2008-06-13
A Method for Sudden Noise Reduction from Speech Using a Stationary-Nonstationary Separating Filter
Naoki KYOYA, Kaoru ARAKAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Authors propose a method for sudden noise reduction. This method first detects noisy part of the input signal, contaminated with sudden noise, using a nonlinear digital filter, named as a stationary-nonstationary separating filter, and then applies time-frequency domain masking only to the noisy parts in order to reduce the noise with minimum distortion. The voice model and the noise model are required to realize the time-frequency domain masking. The voice model is generated from both of training speech data and the part of the input signal, judged as a clean part without noise by the stationary-nonstationary separating filter. The noise model is generated from training noise data. These two models are used to calculate masking function. Computer simulations verify the high performance of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) sudden noise / noise reduction / time-frequency domain masking / speech processing / stationary-nonstationary separating filter
Paper # SIS2008-14
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Committee SIS
Conference Date 2008/6/6(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Method for Sudden Noise Reduction from Speech Using a Stationary-Nonstationary Separating Filter
Sub Title (in English)
Keyword(1) sudden noise
Keyword(2) noise reduction
Keyword(3) time-frequency domain masking
Keyword(4) speech processing
Keyword(5) stationary-nonstationary separating filter
1st Author's Name Naoki KYOYA
1st Author's Affiliation Department of Computer Science, Graduate School of Science and Technology, Meiji University()
2nd Author's Name Kaoru ARAKAWA
2nd Author's Affiliation Department of Computer Science, Graduate School of Science and Technology, Meiji University
Date 2008-06-13
Paper # SIS2008-14
Volume (vol) vol.108
Number (no) 86
Page pp.pp.-
#Pages 5
Date of Issue