Recovery of speech signal from contaminated input

In this paper, investigation is made on the application of an adaptive FIR filter to estimate the desired audio signal, in this case speech signal, from an input of the signal contaminated with background music. Results show that the signal to noise ratio is significantly increased. Informal...

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Main Authors: Lee, Huan Hong, Foo, Say Wei
Other Authors: IEEE International Conference on Control Theory and Applications (3rd : 2001 : Pretoria, South Africa)
Format: Conference or Workshop Item
Language:English
Published: 2009
Online Access:https://hdl.handle.net/10356/91494
http://hdl.handle.net/10220/4609
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-914942019-12-06T18:06:39Z Recovery of speech signal from contaminated input Lee, Huan Hong Foo, Say Wei IEEE International Conference on Control Theory and Applications (3rd : 2001 : Pretoria, South Africa) In this paper, investigation is made on the application of an adaptive FIR filter to estimate the desired audio signal, in this case speech signal, from an input of the signal contaminated with background music. Results show that the signal to noise ratio is significantly increased. Informal listening tests also show that very significant improvement to the quality of the recovered signal can be achieved. The condition for the success of the method hinges on the availability of information of the interfering source such as the background music. Published version 2009-05-22T06:51:44Z 2019-12-06T18:06:39Z 2009-05-22T06:51:44Z 2019-12-06T18:06:39Z 2001 2001 Conference Paper Lee, H. H., & Foo, S. W. (2001). Recovery of speech signal from contaminated input. Proceedings of the 3rd International Conference on Control Theory and Applications, 547-551. https://hdl.handle.net/10356/91494 http://hdl.handle.net/10220/4609 en © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. 5 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description In this paper, investigation is made on the application of an adaptive FIR filter to estimate the desired audio signal, in this case speech signal, from an input of the signal contaminated with background music. Results show that the signal to noise ratio is significantly increased. Informal listening tests also show that very significant improvement to the quality of the recovered signal can be achieved. The condition for the success of the method hinges on the availability of information of the interfering source such as the background music.
author2 IEEE International Conference on Control Theory and Applications (3rd : 2001 : Pretoria, South Africa)
author_facet IEEE International Conference on Control Theory and Applications (3rd : 2001 : Pretoria, South Africa)
Lee, Huan Hong
Foo, Say Wei
format Conference or Workshop Item
author Lee, Huan Hong
Foo, Say Wei
spellingShingle Lee, Huan Hong
Foo, Say Wei
Recovery of speech signal from contaminated input
author_sort Lee, Huan Hong
title Recovery of speech signal from contaminated input
title_short Recovery of speech signal from contaminated input
title_full Recovery of speech signal from contaminated input
title_fullStr Recovery of speech signal from contaminated input
title_full_unstemmed Recovery of speech signal from contaminated input
title_sort recovery of speech signal from contaminated input
publishDate 2009
url https://hdl.handle.net/10356/91494
http://hdl.handle.net/10220/4609
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