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Robust speech recognition using improved vector taylor series algorithm for embedded systems

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3 Author(s)
Yong Lü ; Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China ; Haiyang Wu ; Zhenyang Wu

This paper proposes a novel robust speech recognition technique using improved vector Taylor series (VTS) algorithm for embedded systems. It uses a hidden Markov model (HMM) to replace the Gaussian mixture model (GMM) for estimating the clean speech feature, and gives the closed-form solutions of the noise parameters including the mean and variance at each expectation-maximization (EM) iteration. The experimental results show that the proposed algorithm makes a good balance between the computational complexity and recognition accuracy, and thus is more useful for embedded systems.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:56 ,  Issue: 2 )

Date of Publication:

May 2010

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