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The fourth order cumulant of speech signals applied to pitch estimation

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2 Author(s)
Maalem, H. ; Dept. of Electron., Skikda Univ., Algeria ; Marir, F.

In a number of speech applications, such as coding, synthesis or recognition, it is crucial to make a reliable discrimination between voiced/unvoiced segments and accurately determine the pitch period. The problem of an accurate estimation and decision in noisy condition remains open higher-order statistics (H.O.S) have inherent properties that make them well suited when dealing with a mixture of Gaussian and non-Gaussian processes. This paper explores the fourth order cumulant using autoregressive (AR(p)) and presents a new algorithm for pitch detection of voiced sounds with and without colored Gaussian noise and shows the superiority of the novel method over the classical methods such as cepstral method.

Published in:

Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

8-10 Dec. 2004