Speech recognition enhancement using beamforming and a genetic algorithm
This paper proposes a genetic algorithm (GA) based beamformer to optimize speech recognition accuracy for a pretrained speech recognizer. The proposed beamformer is designed to tackle the non-differentiable and non-linear natures of speech recognition by employing the GA algorithm to search for the...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2009
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| Subjects: | |
| Online Access: | http://doi.ieeecomputersociety.org/10.1109/NSS.2009.44 http://hdl.handle.net/20.500.11937/37617 |
| _version_ | 1848755098393509888 |
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| author | Chan, Kit Yan Yiu, Ka Fai Low, Siow Nordholm, Sven Ling, S. |
| author2 | Wanlei Zhou |
| author_facet | Wanlei Zhou Chan, Kit Yan Yiu, Ka Fai Low, Siow Nordholm, Sven Ling, S. |
| author_sort | Chan, Kit Yan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper proposes a genetic algorithm (GA) based beamformer to optimize speech recognition accuracy for a pretrained speech recognizer. The proposed beamformer is designed to tackle the non-differentiable and non-linear natures of speech recognition by employing the GA algorithm to search for the optimal beamformer weights. Specifically, a population of beamformer weights is reproduced by crossover and mutation until the optimal beamformer weights are obtained. Results show that the speech recognition accuracies can be greatly improved even in noisy environments. |
| first_indexed | 2025-11-14T08:50:54Z |
| format | Conference Paper |
| id | curtin-20.500.11937-37617 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:50:54Z |
| publishDate | 2009 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-376172019-02-19T05:35:06Z Speech recognition enhancement using beamforming and a genetic algorithm Chan, Kit Yan Yiu, Ka Fai Low, Siow Nordholm, Sven Ling, S. Wanlei Zhou beamforming genetic algorithm Speech recognition signal enhancement This paper proposes a genetic algorithm (GA) based beamformer to optimize speech recognition accuracy for a pretrained speech recognizer. The proposed beamformer is designed to tackle the non-differentiable and non-linear natures of speech recognition by employing the GA algorithm to search for the optimal beamformer weights. Specifically, a population of beamformer weights is reproduced by crossover and mutation until the optimal beamformer weights are obtained. Results show that the speech recognition accuracies can be greatly improved even in noisy environments. 2009 Conference Paper http://hdl.handle.net/20.500.11937/37617 http://doi.ieeecomputersociety.org/10.1109/NSS.2009.44 IEEE Computer Society fulltext |
| spellingShingle | beamforming genetic algorithm Speech recognition signal enhancement Chan, Kit Yan Yiu, Ka Fai Low, Siow Nordholm, Sven Ling, S. Speech recognition enhancement using beamforming and a genetic algorithm |
| title | Speech recognition enhancement using beamforming and a genetic algorithm |
| title_full | Speech recognition enhancement using beamforming and a genetic algorithm |
| title_fullStr | Speech recognition enhancement using beamforming and a genetic algorithm |
| title_full_unstemmed | Speech recognition enhancement using beamforming and a genetic algorithm |
| title_short | Speech recognition enhancement using beamforming and a genetic algorithm |
| title_sort | speech recognition enhancement using beamforming and a genetic algorithm |
| topic | beamforming genetic algorithm Speech recognition signal enhancement |
| url | http://doi.ieeecomputersociety.org/10.1109/NSS.2009.44 http://hdl.handle.net/20.500.11937/37617 |