An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources
The problem of separating a time varying number of speech sources in a room is difficult to solve. The challenge lies in estimating the number and the location of these speech sources. Furthermore, the tracked speech sources need to be separated. This thesis proposes a solution which utilises the R...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
Curtin University
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/1250 |
| _version_ | 1848743614377623552 |
|---|---|
| author | Chong, Nicholas Ewe Hai |
| author_facet | Chong, Nicholas Ewe Hai |
| author_sort | Chong, Nicholas Ewe Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The problem of separating a time varying number of speech sources in a room is difficult to solve. The challenge lies in estimating the number and the location of these speech sources. Furthermore, the tracked speech sources need to be separated. This thesis proposes a solution which utilises the Random Finite Set approach to estimate the number and location of these speech sources and subsequently separate the speech source mixture via time frequency masking. |
| first_indexed | 2025-11-14T05:48:22Z |
| format | Thesis |
| id | curtin-20.500.11937-1250 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:48:22Z |
| publishDate | 2015 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-12502017-02-20T06:39:52Z An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources Chong, Nicholas Ewe Hai The problem of separating a time varying number of speech sources in a room is difficult to solve. The challenge lies in estimating the number and the location of these speech sources. Furthermore, the tracked speech sources need to be separated. This thesis proposes a solution which utilises the Random Finite Set approach to estimate the number and location of these speech sources and subsequently separate the speech source mixture via time frequency masking. 2015 Thesis http://hdl.handle.net/20.500.11937/1250 en Curtin University fulltext |
| spellingShingle | Chong, Nicholas Ewe Hai An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources |
| title | An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources |
| title_full | An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources |
| title_fullStr | An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources |
| title_full_unstemmed | An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources |
| title_short | An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources |
| title_sort | online solution for localisation, tracking and separation of moving speech sources |
| url | http://hdl.handle.net/20.500.11937/1250 |