Presentation 2010-03-05
A Study of Speech Noise Reduction System Based on Lattice Filter and Identification System
Takafumi TAKEMOTO, Naoto SASAOKA, Yoshio ITOH, Kensaku FUJII,
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Abstract(in English) We have investigated a noise reconstruction system (NRS) with an adaptive line enhancer (ALE) as a noise reduction system. The NRS uses a linear prediction error filter (LPEF) and a noise reconstruction filter (NRF). The NRS assumes that the background noise is generated by exciting a linear system with a white signal. First, the white signal is estimated by the ALE and LPEF. Next, the background noise is reconstructed from the white signal by estimating the linear system in the NRF. In the conventional NRS, a transversal filter is used as the LPEF. However, the speech component included in a white signal remains by a transversal type LPEF. Therefore, the quality of enhanced speech is degraded. In order to solve the problem, a lattice filter is introduced to a LPEF. Since a lattice filter approximates the vocal tract model of speech, the residual speech is decreased and the quality of enhanced speech is improved.
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Keyword(in English) Noise Reduction / System Identification / Lattice Filter
Paper # SIS2009-62
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Committee SIS
Conference Date 2010/2/25(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Speech Noise Reduction System Based on Lattice Filter and Identification System
Sub Title (in English)
Keyword(1) Noise Reduction
Keyword(2) System Identification
Keyword(3) Lattice Filter
1st Author's Name Takafumi TAKEMOTO
1st Author's Affiliation Graduate school of Engineering, Tottori University()
2nd Author's Name Naoto SASAOKA
2nd Author's Affiliation Graduate school of Engineering, Tottori University
3rd Author's Name Yoshio ITOH
3rd Author's Affiliation Graduate school of Engineering, Tottori University
4th Author's Name Kensaku FUJII
4th Author's Affiliation Graduate school of Engineering, University of Hyogo
Date 2010-03-05
Paper # SIS2009-62
Volume (vol) vol.109
Number (no) 447
Page pp.pp.-
#Pages 6
Date of Issue