Speech recognition enhancement using beamforming and a genetic algorithm

K. Y. Chan, S. Y. Low, S. Nordholm, Ka Fai Cedric Yiu, S. H. Ling

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationNSS 2009 - Network and System Security
Number of pages6
Publication statusPublished - 1 Dec 2009
Event2009 3rd International Conference on Network and System Security, NSS 2009 - Gold Coast, QLD, Australia
Duration: 19 Oct 200921 Oct 2009


Conference2009 3rd International Conference on Network and System Security, NSS 2009
CityGold Coast, QLD


  • Beamforming
  • Genetic algorithm
  • Signal enhancement
  • Speech recognition

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Control and Systems Engineering

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