Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer)
The "cocktail party problem" has always been a challenging problem to solve and many blind source separation algorithms have been proposed as solutions. This problem has mainly been discussed for non-moving sound sources but it still remains for moving sound sources and high acoustic rever...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/24543 |
| _version_ | 1848751460243734528 |
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| author | Chong, N. Wong, S. Vo, Ba Tuong Nordholm, Sven Murray, Iain |
| author2 | Winston Seah |
| author_facet | Winston Seah Chong, N. Wong, S. Vo, Ba Tuong Nordholm, Sven Murray, Iain |
| author_sort | Chong, N. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The "cocktail party problem" has always been a challenging problem to solve and many blind source separation algorithms have been proposed as solutions. This problem has mainly been discussed for non-moving sound sources but it still remains for moving sound sources and high acoustic reverberations. The ability to localise and track multiple moving speakers is a pre-requisite to solving this problem. The aim of this paper is to show that a combination of Degenerate Unmixing Estimation Technique and a Cardinality Balanced Multitarget Multi-Bernoulli Filter provides a viable way to track multiple sound sources and subsequently address the problem of sound separation for moving targets. |
| first_indexed | 2025-11-14T07:53:04Z |
| format | Conference Paper |
| id | curtin-20.500.11937-24543 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:53:04Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-245432023-02-27T07:34:30Z Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer) Chong, N. Wong, S. Vo, Ba Tuong Nordholm, Sven Murray, Iain Winston Seah Stephane Maag Jayavardhana Gubbi Blind Source Separation sound localisation DUET CBMeMBer filter multiple speaker tracking The "cocktail party problem" has always been a challenging problem to solve and many blind source separation algorithms have been proposed as solutions. This problem has mainly been discussed for non-moving sound sources but it still remains for moving sound sources and high acoustic reverberations. The ability to localise and track multiple moving speakers is a pre-requisite to solving this problem. The aim of this paper is to show that a combination of Degenerate Unmixing Estimation Technique and a Cardinality Balanced Multitarget Multi-Bernoulli Filter provides a viable way to track multiple sound sources and subsequently address the problem of sound separation for moving targets. 2014 Conference Paper http://hdl.handle.net/20.500.11937/24543 10.1109/ISSNIP.2014.6827608 IEEE restricted |
| spellingShingle | Blind Source Separation sound localisation DUET CBMeMBer filter multiple speaker tracking Chong, N. Wong, S. Vo, Ba Tuong Nordholm, Sven Murray, Iain Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer) |
| title | Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer) |
| title_full | Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer) |
| title_fullStr | Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer) |
| title_full_unstemmed | Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer) |
| title_short | Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer) |
| title_sort | multiple moving speaker tracking via degenerate unmixing estimation technique and cardinality balanced multi-target multi-bernoulli filter (duet-cbmember) |
| topic | Blind Source Separation sound localisation DUET CBMeMBer filter multiple speaker tracking |
| url | http://hdl.handle.net/20.500.11937/24543 |