Noise Speech Recognition Based on Compressive Sensing

Zhi Peng Zhao; Yi Gang Cen; Xiao Fang Chen

doi:10.4028/www.scientific.net/AMR.268-270.82

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270Noise Speech Recognition Based on Compressive...

Noise Speech Recognition Based on Compressive Sensing

Abstract:

In this paper, we proposed a new noise speech recognition method based on the compressive sensing theory. Through compressive sensing, our method increases the anti-noise ability of speech recognition system greatly, which leads to the improvement of the recognition accuracy. According to the experiments, our proposed method achieved better recognition performance compared with the traditional isolated word recognition method based on DTW algorithm.

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Periodical:

Advanced Materials Research (Volumes 268-270)

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82-87

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https://doi.org/10.4028/www.scientific.net/AMR.268-270.82

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Online since:

July 2011

Authors:

Zhi Peng Zhao, Yi Gang Cen, Xiao Fang Chen

Keywords:

Compressive Sensing (CS), Sparse Representation, Speech Analysis, Speech Recognition

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