On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation
In this paper we propose to incorporate contextual time frequency information for clustering-based blind source separation. Previous clustering-based approaches have successfully used clustering techniques to estimate time-frequency separation masks; however, these approaches generally do not consid...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/28633 |
| _version_ | 1848752588771557376 |
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| author | Atcheson, M. Jafari, I. Togneri, R. Nordholm, Sven |
| author2 | Maria S. Greco, University of Pisa |
| author_facet | Maria S. Greco, University of Pisa Atcheson, M. Jafari, I. Togneri, R. Nordholm, Sven |
| author_sort | Atcheson, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper we propose to incorporate contextual time frequency information for clustering-based blind source separation. Previous clustering-based approaches have successfully used clustering techniques to estimate time-frequency separation masks; however, these approaches generally do not consider the contextual information of each time-frequency slot. Motivated by the homogenous behavior of speech signals, we modify the fuzzy c-means clustering to bias the results in favor of cluster membership homogeneity within localized neighborhoods in the time-frequency space. Experimental evaluations in both simulated and real-world underdetermined environments demonstrate improvement in source separation performance over previous clustering approaches. |
| first_indexed | 2025-11-14T08:11:01Z |
| format | Conference Paper |
| id | curtin-20.500.11937-28633 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:11:01Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-286332017-09-13T15:17:10Z On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation Atcheson, M. Jafari, I. Togneri, R. Nordholm, Sven Maria S. Greco, University of Pisa fuzzy c-means clustering time-frequency masking blind source separation contextual information In this paper we propose to incorporate contextual time frequency information for clustering-based blind source separation. Previous clustering-based approaches have successfully used clustering techniques to estimate time-frequency separation masks; however, these approaches generally do not consider the contextual information of each time-frequency slot. Motivated by the homogenous behavior of speech signals, we modify the fuzzy c-means clustering to bias the results in favor of cluster membership homogeneity within localized neighborhoods in the time-frequency space. Experimental evaluations in both simulated and real-world underdetermined environments demonstrate improvement in source separation performance over previous clustering approaches. 2014 Conference Paper http://hdl.handle.net/20.500.11937/28633 10.1109/ICASSP.2014.6853972 IEEE restricted |
| spellingShingle | fuzzy c-means clustering time-frequency masking blind source separation contextual information Atcheson, M. Jafari, I. Togneri, R. Nordholm, Sven On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation |
| title | On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation |
| title_full | On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation |
| title_fullStr | On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation |
| title_full_unstemmed | On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation |
| title_short | On the use of contextual time frequency information for full-band clustering-based convolutive blind source separation |
| title_sort | on the use of contextual time frequency information for full-band clustering-based convolutive blind source separation |
| topic | fuzzy c-means clustering time-frequency masking blind source separation contextual information |
| url | http://hdl.handle.net/20.500.11937/28633 |