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FPGA multi-filter system for speech enhancement via multi-criteria optimization

FPGA multi-filter system for speech enhancement via multi-criteria optimization
FPGA multi-filter system for speech enhancement via multi-criteria optimization
Speech is the main medium for human communication and interaction. Apart from the traditional telephones, more and more applications come with speech interfaces, which use speech signal as an input for various purposes. However, many of these applications might fail to perform in noisy environments as the signal-to-noise ratio (SNR) degrades. Two important measures for any speech enhancement algorithm are noise suppression and speech distortion. Naturally, different speech enhancement algorithms will have different trade-offs. Moreover, depending on the environment, it is possible that one algorithm will outperform the others in some respects. This paper proposes a multi-filter system, which has the capability of continually adjusting the noise suppression level and the speech distortion level in a Pareto fashion. Moreover, we show that the system works under a variety of noisy environments and we obtain the efficient frontier of the combined filters for each background noise. Because the multi-filters are adapting in parallel, the final system can be implemented on FPGA efficiently.
signal enhancement, multi-criteria, FPGA
1568-4946
533-541
Yiu, Cedric Ka Fai
f61db65d-2214-48ad-af2d-65a8241a2ce5
Li, Zhibao
76662b66-7717-4753-844a-7e0a6e002038
Low, Siow Yong
8fd903a4-b0b0-4c1c-9cc7-c2fe87109376
Nordholm, Sven
afe8b3b2-591c-4564-b5d0-ac5a82a73b5c
Yiu, Cedric Ka Fai
f61db65d-2214-48ad-af2d-65a8241a2ce5
Li, Zhibao
76662b66-7717-4753-844a-7e0a6e002038
Low, Siow Yong
8fd903a4-b0b0-4c1c-9cc7-c2fe87109376
Nordholm, Sven
afe8b3b2-591c-4564-b5d0-ac5a82a73b5c

Yiu, Cedric Ka Fai, Li, Zhibao, Low, Siow Yong and Nordholm, Sven (2014) FPGA multi-filter system for speech enhancement via multi-criteria optimization. Applied Soft Computing, 21, 533-541. (doi:10.1016/j.asoc.2014.03.016).

Record type: Article

Abstract

Speech is the main medium for human communication and interaction. Apart from the traditional telephones, more and more applications come with speech interfaces, which use speech signal as an input for various purposes. However, many of these applications might fail to perform in noisy environments as the signal-to-noise ratio (SNR) degrades. Two important measures for any speech enhancement algorithm are noise suppression and speech distortion. Naturally, different speech enhancement algorithms will have different trade-offs. Moreover, depending on the environment, it is possible that one algorithm will outperform the others in some respects. This paper proposes a multi-filter system, which has the capability of continually adjusting the noise suppression level and the speech distortion level in a Pareto fashion. Moreover, we show that the system works under a variety of noisy environments and we obtain the efficient frontier of the combined filters for each background noise. Because the multi-filters are adapting in parallel, the final system can be implemented on FPGA efficiently.

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More information

Accepted/In Press date: 11 March 2014
e-pub ahead of print date: 13 April 2014
Published date: August 2014
Keywords: signal enhancement, multi-criteria, FPGA
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 368036
URI: http://eprints.soton.ac.uk/id/eprint/368036
ISSN: 1568-4946
PURE UUID: 7cef72ce-f3a7-4b25-a0d9-f2941cf3eaaa

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Date deposited: 28 Aug 2014 10:34
Last modified: 08 Jan 2022 09:18

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Contributors

Author: Cedric Ka Fai Yiu
Author: Zhibao Li
Author: Siow Yong Low
Author: Sven Nordholm

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