Presentation 2000/9/22
Wiener Filter Using Improved LPC
Shinya OGATA, Tetsuya SHIMAMURA,
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Abstract(in English) We modify the Wiener filter and derive an improved method for noise reduction. Basically, the Wiener filter is designed by the power spectrum of noise and the power spectrum of speech. However, it is difficult to obtain the power spectrum of speech from noisy speech. To conquer such a problem, we use the improved LPC which strengthens LPC against the noise and secures a stability. In this paper, the speech power spectrum estimated by improved LPC is used for designing the Wiener filter. By experimental results, we confirm that the proposed method is effective.
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Keyword(in English) LPC / Wiener filter / spectrum estimation / noise reduction
Paper # DSP2000-100,SP2000-66
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Conference Information
Committee DSP
Conference Date 2000/9/22(1days)
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Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Wiener Filter Using Improved LPC
Sub Title (in English)
Keyword(1) LPC
Keyword(2) Wiener filter
Keyword(3) spectrum estimation
Keyword(4) noise reduction
1st Author's Name Shinya OGATA
1st Author's Affiliation Department of Information and Computer Sciences, Saitama University()
2nd Author's Name Tetsuya SHIMAMURA
2nd Author's Affiliation Department of Information and Computer Sciences, Saitama University
Date 2000/9/22
Paper # DSP2000-100,SP2000-66
Volume (vol) vol.100
Number (no) 326
Page pp.pp.-
#Pages 6
Date of Issue