DocumentCode
1649976
Title
LP-based over-sampled subband Adaptive Noise Canceller for speech enhancement in diffuse noise fields
Author
Khorram, Soheil ; Sameti, Hossein ; Veisi, Hadi
Author_Institution
Comput. Eng. Dept., Sharif Univ. of Technol., Tehran
fYear
2008
Firstpage
157
Lastpage
161
Abstract
Adaptive noise cancellers (ANCs) do not provide sufficient noise reduction in the diffuse noise fields. In this paper, a new hybrid structure is proposed as a solution to this problem. The proposed system is a combination of two subsystems, an ANC and a new multistage post-filter. The post-filter is based on linear prediction (LP) and attempts to extract speech component by using intermediate ANC signals. The system is implemented on an over-sampled DFT filterbank with different analysis and synthesis prototype filters. The experimental results using various quality measures show that the proposed system is superior to both the subband ANC and subband LP based speech enhancement systems.
Keywords
discrete Fourier transforms; filtering theory; signal denoising; speech enhancement; adaptive noise cancellers; diffuse noise fields; linear prediction; multistage post-filter; over-sampled DFT filterbank; prototype filters analysis; prototype filters synthesis; speech enhancement; Acoustic noise; Adaptive filters; Frequency; Noise cancellation; Noise generators; Noise reduction; Speech enhancement; White noise; Wiener filter; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2178-7
Electronic_ISBN
978-1-4244-2179-4
Type
conf
DOI
10.1109/ICOSP.2008.4697093
Filename
4697093
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