The Frequency Domain Analysis of Speech Signals Based on MATLAB

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Abstract:

Frequency domain analysis of speech signal includes spectrum analysis, power spectrum and the inverse spectrum, spectral envelope analysis. The common methods of frequency domain analysis includes bandpass filters , Fourier transform, linear see method etc.. Using MATLAB discusses the short section of the speech signal spectrum, cepstrum and complex spectrum, the pitch and formant simulation results are given.

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2906-2909

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Markel J D, Gray A H. Linear Prediction of Speech[M]. New York: Springer-Verlag, (1976).

Google Scholar

[2] Makhoul J. Linear prediction: A tutorial review[C] /Proc of the IEEE, 1975, 63(4): 561-580.

DOI: 10.1109/proc.1975.9792

Google Scholar

[3] Makhoul J. Spectral linear prediction: Properties and applications[ J]. IEEE Trans. on Acoustics, Speech, and Signal Processing, 1975, 23(3): 283-296.

DOI: 10.1109/tassp.1975.1162685

Google Scholar

[4] Makhoul J. Stable and efficient lattice methods for linear prediction[J]. IEEE Trans. on Acoustics, Speech, and Signal Processing, 1977, 25(5): 423-428.

DOI: 10.1109/tassp.1977.1162979

Google Scholar

[5] Hamming R W. Coding and Information Theory[M]. Englewood Cliffs(New Jersey): Prentice-Hal, l (1980).

Google Scholar