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Segmentation of isolated words based on dynamics of parameters of short correlation functions

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Abstract

In the paper, results of theoretical and experimental studies of dynamics of parameters of short correlation functions of speech signals are exposed. We present the results of the theoretical investigation of the dependence of the maxima of correlation functions of quasi-periodic signals in a general form on the characteristics defining the degree of their quasi-periodicity. Based on these dependences, estimates for the parameters of the quasi-periodicity degree, of the length of quasi-periodic intervals, of the main period, etc. are constructed. The obtained estimates are interpreted in the case of speech signals, and it is shown that many important parameters used in speech technologies can be calculated from them. Experimental results on segmentation of isolated words into separate phonemes are given as an example of efficiency of the approach based on the analysis of correlation functions. It is shown that the segmentation based on monitoring of singularities of dynamics of parameters of short correlation turns out to be stable and adequate to perception.

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Authors and Affiliations

  1. Institute of Radio Engineering and Electronics, Russian Academy of Sciences, ul. Mokhovaya 11, K-9 GSP-1, Moscow, 125009, Russia

    V. E. Antsiperov, V. A. Morozov & S. A. Nikitov

Authors
  1. V. E. Antsiperov
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  2. V. A. Morozov
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  3. S. A. Nikitov
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Correspondence to V. E. Antsiperov.

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Vyacheslav E. Antsiperov. Born in 1959. Graduated from the Moscow Institute of Physics and Technology in 1982. Received candidate’s degree in 1986. Senior Researcher at the Institute of Radio Engineering and Electronics, Russian Academy of Sciences. Scientific interests: information theory, recognition and identification theory, and computer modeling of biological aspects of human activities, including speech and image recognition and modeling of other functions of central nervous system. Author of more than 30 papers.

Vladimir A. Morozov. Born in 1932. Graduated from the Moscow Institute of Energetics in 1956. Received candidate’s degree in 1964. Chief of the Statistical Radiophysics Department of the Institute of Radio Engineering and Electronics, Russian Academy of Sciences. Scientific interests: information theory, weak signal detection, signal processing, stochastic recognition, and speech recognition. Author of more than 80 papers.

Sergei A. Nikitov. Born in 1955. Graduated from the Moscow Institute of Physics and Technology in 1979. Received candidate’s degree in 1982 and Doctoral degree in 1991. Professor, Principal Researcher, the Head of Laboratory at the Institute of Radio Engineering and Electronics, Russian Academy of Sciences. Since 2004 corresponding member of the Russian Academy of Sciences. Scientific interests: informatics, including speech processing, magnetoelectronics, and nonlinear dynamics. Author of more than 100 papers.

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Antsiperov, V.E., Morozov, V.A. & Nikitov, S.A. Segmentation of isolated words based on dynamics of parameters of short correlation functions. Pattern Recognit. Image Anal. 17, 527–538 (2007). https://doi.org/10.1134/S1054661807040116

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  • DOI: https://doi.org/10.1134/S1054661807040116

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