Real time noise suppression in social settings comprising a mixture of non-stationary and transient noise

© 2016 IEEE. Hearable is a recently emerging term that describes a wireless earpiece that enhances the user's listening experience in various acoustic environment. Another important feature of hearable devices is their capability to improve speech communication in difficult social settings, whi...

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Main Authors: Yong, Pei Chee, Nordholm, Sven
Format: Conference Paper
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/65728
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author Yong, Pei Chee
Nordholm, Sven
author_facet Yong, Pei Chee
Nordholm, Sven
author_sort Yong, Pei Chee
building Curtin Institutional Repository
collection Online Access
description © 2016 IEEE. Hearable is a recently emerging term that describes a wireless earpiece that enhances the user's listening experience in various acoustic environment. Another important feature of hearable devices is their capability to improve speech communication in difficult social settings, which usually consist of a mixture of different non-stationary noise. In this paper, we present techniques to suppress a combination of non-stationary noise and transient noise. This is achieved by employing a combined noise suppression filter based on prediction and masking to achieve impulsive noise suppression. Experimental results highlight the robustness of the proposed algorithm in suppressing the transient noise while maintaining the speech components, without requiring any prior information of the noise.
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spelling curtin-20.500.11937-657282018-02-19T08:06:17Z Real time noise suppression in social settings comprising a mixture of non-stationary and transient noise Yong, Pei Chee Nordholm, Sven © 2016 IEEE. Hearable is a recently emerging term that describes a wireless earpiece that enhances the user's listening experience in various acoustic environment. Another important feature of hearable devices is their capability to improve speech communication in difficult social settings, which usually consist of a mixture of different non-stationary noise. In this paper, we present techniques to suppress a combination of non-stationary noise and transient noise. This is achieved by employing a combined noise suppression filter based on prediction and masking to achieve impulsive noise suppression. Experimental results highlight the robustness of the proposed algorithm in suppressing the transient noise while maintaining the speech components, without requiring any prior information of the noise. 2017 Conference Paper http://hdl.handle.net/20.500.11937/65728 10.23919/EUSIPCO.2017.8081275 restricted
spellingShingle Yong, Pei Chee
Nordholm, Sven
Real time noise suppression in social settings comprising a mixture of non-stationary and transient noise
title Real time noise suppression in social settings comprising a mixture of non-stationary and transient noise
title_full Real time noise suppression in social settings comprising a mixture of non-stationary and transient noise
title_fullStr Real time noise suppression in social settings comprising a mixture of non-stationary and transient noise
title_full_unstemmed Real time noise suppression in social settings comprising a mixture of non-stationary and transient noise
title_short Real time noise suppression in social settings comprising a mixture of non-stationary and transient noise
title_sort real time noise suppression in social settings comprising a mixture of non-stationary and transient noise
url http://hdl.handle.net/20.500.11937/65728