Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering
Successful localization of sound sources in reverberant enclosures is an important prerequisite for many spatial signal processing algorithms. We investigate the use of a weighted fuzzy-means cluster algorithm for robust source localization using location cues extracted from a microphone array. In o...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
IEEE Signal Processing Society
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/36103 |
| _version_ | 1848754676379418624 |
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| author | Kuhne, M. Togneri, R. Nordholm, Sven |
| author_facet | Kuhne, M. Togneri, R. Nordholm, Sven |
| author_sort | Kuhne, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Successful localization of sound sources in reverberant enclosures is an important prerequisite for many spatial signal processing algorithms. We investigate the use of a weighted fuzzy-means cluster algorithm for robust source localization using location cues extracted from a microphone array. In orderto increase the algorithm's robustness against sound reflections, we incorporate observation weights to emphasize reliable cues over unreliable ones. The weights are computed from local feature statistics around sound onsets because it is known that these regions are least affected by reverberation. Experimental results illustrate the superiority of the method when compared with standard fuzzy clustering. The proposed algorithm successfully located two speech sources for a range of angular separations in room environments with reverberation times of up to 600 ms. |
| first_indexed | 2025-11-14T08:44:12Z |
| format | Journal Article |
| id | curtin-20.500.11937-36103 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:44:12Z |
| publishDate | 2009 |
| publisher | IEEE Signal Processing Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-361032017-01-30T13:53:40Z Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering Kuhne, M. Togneri, R. Nordholm, Sven microphone array Fuzzy clustering - source localization reverberation Successful localization of sound sources in reverberant enclosures is an important prerequisite for many spatial signal processing algorithms. We investigate the use of a weighted fuzzy-means cluster algorithm for robust source localization using location cues extracted from a microphone array. In orderto increase the algorithm's robustness against sound reflections, we incorporate observation weights to emphasize reliable cues over unreliable ones. The weights are computed from local feature statistics around sound onsets because it is known that these regions are least affected by reverberation. Experimental results illustrate the superiority of the method when compared with standard fuzzy clustering. The proposed algorithm successfully located two speech sources for a range of angular separations in room environments with reverberation times of up to 600 ms. 2009 Journal Article http://hdl.handle.net/20.500.11937/36103 IEEE Signal Processing Society fulltext |
| spellingShingle | microphone array Fuzzy clustering - source localization reverberation Kuhne, M. Togneri, R. Nordholm, Sven Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering |
| title | Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering |
| title_full | Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering |
| title_fullStr | Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering |
| title_full_unstemmed | Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering |
| title_short | Robust Source Localization in Reverberant Environments Based on Weighted Fuzzy Clustering |
| title_sort | robust source localization in reverberant environments based on weighted fuzzy clustering |
| topic | microphone array Fuzzy clustering - source localization reverberation |
| url | http://hdl.handle.net/20.500.11937/36103 |