Multi-speaker separation employing microphone array and vertex finding algorithm
© 2018 IEEE. This paper proposes a new speaker detection and signal separation algorithm for multiple speakers using microphone array data recorded in a room environment. The algorithm utilizes the fact that in multi-speaker conversations not all speakers are speaking simultaneously there are time s...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/74645 |
| _version_ | 1848763333090476032 |
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| author | Hong Dam, H. Nordholm, Sven |
| author_facet | Hong Dam, H. Nordholm, Sven |
| author_sort | Hong Dam, H. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 IEEE. This paper proposes a new speaker detection and signal separation algorithm for multiple speakers using microphone array data recorded in a room environment. The algorithm utilizes the fact that in multi-speaker conversations not all speakers are speaking simultaneously there are time segments when only a single speaker is active. Based on that observation a speech activity detector for each speaker (MVAD) has been developed. It is based on SRP-PHAT estimates for different blocks of data. We have shown that these estimates form vertexes in a convex polygon which can be employed to obtain MVAD detections. Those detections are then used to form Minimum Variance Distortionless Response (MVDR) beamformers. Evaluations based on real recorded speech data with 4 speakers show that the algorithm provides good interference suppression and low speech distortion for this difficult scenario. |
| first_indexed | 2025-11-14T11:01:47Z |
| format | Conference Paper |
| id | curtin-20.500.11937-74645 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:01:47Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-746452019-02-19T05:35:45Z Multi-speaker separation employing microphone array and vertex finding algorithm Hong Dam, H. Nordholm, Sven © 2018 IEEE. This paper proposes a new speaker detection and signal separation algorithm for multiple speakers using microphone array data recorded in a room environment. The algorithm utilizes the fact that in multi-speaker conversations not all speakers are speaking simultaneously there are time segments when only a single speaker is active. Based on that observation a speech activity detector for each speaker (MVAD) has been developed. It is based on SRP-PHAT estimates for different blocks of data. We have shown that these estimates form vertexes in a convex polygon which can be employed to obtain MVAD detections. Those detections are then used to form Minimum Variance Distortionless Response (MVDR) beamformers. Evaluations based on real recorded speech data with 4 speakers show that the algorithm provides good interference suppression and low speech distortion for this difficult scenario. 2018 Conference Paper http://hdl.handle.net/20.500.11937/74645 10.1109/IWAENC.2018.8521373 restricted |
| spellingShingle | Hong Dam, H. Nordholm, Sven Multi-speaker separation employing microphone array and vertex finding algorithm |
| title | Multi-speaker separation employing microphone array and vertex finding algorithm |
| title_full | Multi-speaker separation employing microphone array and vertex finding algorithm |
| title_fullStr | Multi-speaker separation employing microphone array and vertex finding algorithm |
| title_full_unstemmed | Multi-speaker separation employing microphone array and vertex finding algorithm |
| title_short | Multi-speaker separation employing microphone array and vertex finding algorithm |
| title_sort | multi-speaker separation employing microphone array and vertex finding algorithm |
| url | http://hdl.handle.net/20.500.11937/74645 |