Speech recognition enhancement using beamforming and a genetic algorithm
MetadataShow full item record
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.
Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Showing items related by title, author, creator and subject.
Yiu, K.; Chan, Kit Yan; Grbić, N.; Nordholm, Sven (2012)In this paper, a new approach to designing beamformers for voice control device is proposed. It is well-known that under a strong near-field noise with low signal-to-noise ratios (SNR), the performance of speech recognition ...
Chan, Kit Yan; Nordholm, Sven; Yiu, Ka Fai; Togneri, R. (2013)Industrial automation with speech control functions is generally installed with a speech recognition sensor which is used as an interface for users to articulate speech commands. However, recognition errors are likely to ...
Enhancement of speech recognitions for control automation using an intelligent particle swarm optimizationChan, Kit Yan; Yiu, Cedric K.F.; Dillon, Tharam S.; Nordholm, Sven; Ling, S.H. (2012)For over two decades, speech control mechanisms have been widely applied in manufacturing systems such as factory automation, warehouse automation and industrial robotic control for over two decades. To implement speech ...