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Speech recognition enhancement using beamforming and a genetic algorithm

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Open access
Authors
Chan, Kit Yan
Yiu, Ka Fai
Low, Siow
Nordholm, Sven
Ling, S.
Date
2009
Type
Conference Paper
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Abstract

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.

Citation
Chan, Kit and Yiu, Ka Fai and Low, Siow and Nordholm, Sven and Ling, S. 2009. Speech recognition enhancement using beamforming and a genetic algorithm, in Zhou, W. (ed), 2nd IEEE International Workshop on Data Mining and Artificial Intelligence (DMAI 2009) with Third International Conference on Network and System Security (NSS 2009), Oct 19 2009, pp. 510-515.Gold Coast, Australia: IEEE Computer Society.
Source Title
Proceedings of the 2nd IEEE international workshop on data mining and artificial intelligence (DMAI 2009) with third international conference on network and system security (NSS 2009)
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Faculty
Curtin Business School
The Digital Ecosystems and Business Intelligence Institute (DEBII)
Department
Digital Ecosystems and Business Intelligence Institute (DEBII)
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