• Electro-Optic Technology Application
  • Vol. 26, Issue 3, 57 (2011)
FENG Yan-jun, JIN Hong, and ZhANG Xiao-mei
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    FENG Yan-jun, JIN Hong, ZhANG Xiao-mei. Analysis of Speech Signals Using MATLAB[J]. Electro-Optic Technology Application, 2011, 26(3): 57 Copy Citation Text show less

    Abstract

    The speech signal processing is the cross-discipline which combines the voice science with the digital signal processing technology. The voice is taken as a special signal, i.e. a complex vector. By using the command functions in the digital signal processing tool-MATLAB, the digital signal processing can solve many problems. The spectrum of voice signals are analyzed, which is the same as the spectrum analysis of common signals. A variety of digital filters (FIR low-pass filters, high pass filters, band-pass filter and IIR band stop filter) are used to filter and analyze the voice, and the voice signals are compared with the original signal. Finally, the conclusion is drawn.