Presentation 2000/6/16
A New Noise Reduction Method Based on Linear Prediction
Arata KAWAMURA, Kensaku FUJII, Yoshio ITOH, Yutaka FUKUI, Sumio TSUIKI,
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Abstract(in English) A technique that uses linear prediction to achieve noise reduction in a voice signal which has been mixed with an ambient noise (S-N ratio=about 0dB) is proposed. This noise reduction method which is based on the linear prediction estimates the voice spectrum while ignoring the spectrum of the white noise. The performance of the noise reduction method is examined using the transversal linear predictor filter. Next, we consider a practical application where the effects of round off errors arising from fixed-point computation has to be minimized. This minimization is achieved by using the lattice predictor filter. Finally, we consider a practical application where noise reduction is necessary. In this noise reduction method, both the voice spectrum and the actual noise spectrum is estimated. Noise reduction is achieved by using the linear predictor filter which includes the control of the predicting coefficient.
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Keyword(in English) Noise Reduction / Linear Prediction / Sub-RLS Algorithm / Lattice Filter
Paper # CAS2000-23,VLD2000-32,DSP2000-44
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Committee CAS
Conference Date 2000/6/16(1days)
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Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A New Noise Reduction Method Based on Linear Prediction
Sub Title (in English)
Keyword(1) Noise Reduction
Keyword(2) Linear Prediction
Keyword(3) Sub-RLS Algorithm
Keyword(4) Lattice Filter
1st Author's Name Arata KAWAMURA
1st Author's Affiliation Faculty of Engineering, Tottori University()
2nd Author's Name Kensaku FUJII
2nd Author's Affiliation FUJITSU LABORATORIES LTD
3rd Author's Name Yoshio ITOH
3rd Author's Affiliation Faculty of Engineering, Tottori University
4th Author's Name Yutaka FUKUI
4th Author's Affiliation Faculty of Engineering, Tottori University
5th Author's Name Sumio TSUIKI
5th Author's Affiliation Faculty of Engineering, Tottori University
Date 2000/6/16
Paper # CAS2000-23,VLD2000-32,DSP2000-44
Volume (vol) vol.100
Number (no) 119
Page pp.pp.-
#Pages 7
Date of Issue