Abstract
This paper applies the single microphone speech enhancement method to the microphone array speech enhancement method, and proposes a new speech enhancement method based on autoregressive model (AR). First, for the input matrix, the method adopts the generalized cross correlation method based on onset signals to estimate the time delay. Then according to the time delay information, the method calculates the linear prediction coefficient of signals received by the microphone array by means of Levinson-Durbin algorithm, and then carries out AR model speech enhancement. Finally, the method combines the enhanced speech signals to one channel output signals. The simulation results show that the proposed method can eliminate the plus noise and improve the speech quality effectively.
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Zhang, L., Yin, F., Zhang, L. (2010). A New Microphone Array Speech Enhancement Method Based on AR Model. In: Li, K., Jia, L., Sun, X., Fei, M., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science(), vol 6330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15615-1_17
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DOI: https://doi.org/10.1007/978-3-642-15615-1_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15614-4
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