Speech recognition enhancement using beamforming and a genetic algorithm

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Conference Proceeding
NSS 2009 - Network and System Security, 2009, pp. 510 - 515
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This paper proposes a genetic algorithm (GA) based beamformer to optimize speech recognition accuracy for a pre-trained 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 IEEE.
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