Presentation	2006/6/8 Sinusoidal Noise Reduction Method Using Leaky LMS Algorithm Teppei WASHI, Arata KAWAMURA, Yoji IIGUNI,
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Abstract(in English)	A technique that uses a prediction error filter for reducing a sinusoidal noise from a noisy speech has been proposed previously. Since the prediction error filter can estimate the sinusoidal noise completely, the output becomes zero at convergence on non-speech segments. However, frequency characteristics of the filter depend on its prediction algorithm, and the coefficients may converge the values which degrade the speech. In this paper, we propose a leaky LMS algorithm so that the prediction error filter removes only the sinusoidal line spectrum without speech degradation.
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Keyword(in English)	prediction error filter / sinusoidal noise / leaky LMS algorithm
Paper #	SIS2006-7
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Committee	SIS
Conference Date	2006/6/8(1days)
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Registration To	Smart Info-Media Systems (SIS)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Sinusoidal Noise Reduction Method Using Leaky LMS Algorithm
Sub Title (in English)
Keyword(1)	prediction error filter
Keyword(2)	sinusoidal noise
Keyword(3)	leaky LMS algorithm
1st Author's Name	Teppei WASHI
1st Author's Affiliation	Graduate School of Engineering Science, Osaka University()
2nd Author's Name	Arata KAWAMURA
2nd Author's Affiliation	Graduate School of Engineering Science, Osaka University
3rd Author's Name	Yoji IIGUNI
3rd Author's Affiliation	Graduate School of Engineering Science, Osaka University
Date	2006/6/8
Paper #	SIS2006-7
Volume (vol)	vol.106
Number (no)	95
Page	pp.pp.-
#Pages	6
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