Presentation 2006-05-25
Shot noise suppression for speech signals by using a sparse signal representation with reverberation estimation
Makoto NAKASHIZUKA,
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Abstract(in English) This paper proposes a shot noise suppression method by using a sparse signal representation. For signal separation, we assumed that the speech is stationary within 20-40ms and the duration of the shot noises is shorter than these periods. By this assumption, a sparse representation can be obtained with the pair of two DFT bases that supports shorter and longer time period from the noisy speech signal corrupted by the shot noises. With this sparse representation, the speech signal can be recovered from the coefficients that are associated with the DFT bases that support longer time period. For the signal separation, we apply the basis pursuit denoising algorithm for noisy speeches. However, the duration of reverberation of the shot noises is longer than the period that is supposed for the shot noise. The reverberation of the shot noises hence appear in the separated speech signals. To suppress the noise reverberation, we apply a spectrum subtraction to the separated speech. For the spectrum subtraction, we propose a noise reverberation power estimation from the sparse representation. In experiment, we apply the proposed method for noisy speech signals that are corrupted with the shot noises that are recorded in a real environment. We demonstrate that the proposed method can improve about 7-10dB in the segmental SNR of the noisy segments.
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Keyword(in English) Basis Pursuit / Noise Reduction / Speech Signal Processing / Shot Noise / Signal Separation
Paper # EA2006-13,SIP2006-17
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Committee EA
Conference Date 2006/5/18(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Shot noise suppression for speech signals by using a sparse signal representation with reverberation estimation
Sub Title (in English)
Keyword(1) Basis Pursuit
Keyword(2) Noise Reduction
Keyword(3) Speech Signal Processing
Keyword(4) Shot Noise
Keyword(5) Signal Separation
1st Author's Name Makoto NAKASHIZUKA
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
Date 2006-05-25
Paper # EA2006-13,SIP2006-17
Volume (vol) vol.106
Number (no) 64
Page pp.pp.-
#Pages 6
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