Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009
This paper presents a new approach to enhance speech based on a distributed microphone network. Each microphone is used to simultaneously classify the input into either one of the noise types or as speech. For enhancing the speech signal a modified spectral subtraction approach is used that utilise...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE Computer Society
2009
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| Online Access: | http://dblp.uni-trier.de/db/conf/avss/avss2009.html#KuhnapfelTVI09 http://hdl.handle.net/20.500.11937/27305 |
| _version_ | 1848752226602844160 |
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| author | Kϋhnapfel, Thorsten Tan, Tele Venkatesh, Svetha Igel, B. |
| author2 | Stefano Tubaro |
| author_facet | Stefano Tubaro Kϋhnapfel, Thorsten Tan, Tele Venkatesh, Svetha Igel, B. |
| author_sort | Kϋhnapfel, Thorsten |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a new approach to enhance speech based on a distributed microphone network. Each microphone is used to simultaneously classify the input into either one of the noise types or as speech. For enhancing the speech signal a modified spectral subtraction approach is used that utilise the sound information of the entire network to update the noise model even during speech. This improves the reduction of the ambient noise, especially for non-stationary noise types such as street or beach noise. Experiments demonstrate the effectiveness of the proposed system. |
| first_indexed | 2025-11-14T08:05:15Z |
| format | Conference Paper |
| id | curtin-20.500.11937-27305 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:05:15Z |
| publishDate | 2009 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-273052022-12-09T06:09:41Z Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009 Kϋhnapfel, Thorsten Tan, Tele Venkatesh, Svetha Igel, B. Stefano Tubaro Jean-Luc Dugelay This paper presents a new approach to enhance speech based on a distributed microphone network. Each microphone is used to simultaneously classify the input into either one of the noise types or as speech. For enhancing the speech signal a modified spectral subtraction approach is used that utilise the sound information of the entire network to update the noise model even during speech. This improves the reduction of the ambient noise, especially for non-stationary noise types such as street or beach noise. Experiments demonstrate the effectiveness of the proposed system. 2009 Conference Paper http://hdl.handle.net/20.500.11937/27305 http://dblp.uni-trier.de/db/conf/avss/avss2009.html#KuhnapfelTVI09 IEEE Computer Society fulltext |
| spellingShingle | Kϋhnapfel, Thorsten Tan, Tele Venkatesh, Svetha Igel, B. Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009 |
| title | Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009 |
| title_full | Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009 |
| title_fullStr | Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009 |
| title_full_unstemmed | Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009 |
| title_short | Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009 |
| title_sort | distributed audio network for speech enhancement in challenging noise backgrounds. avss 2009 |
| url | http://dblp.uni-trier.de/db/conf/avss/avss2009.html#KuhnapfelTVI09 http://hdl.handle.net/20.500.11937/27305 |