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Fuzzy Phonetic Encoding of Speech Signals in Voice Processing Systems

  • THEORY AND METHODS OF SIGNAL PROCESSING
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Abstract

In this paper, we studied the phonetic approach for voice processing. A method for automatic recognition of speech signals, in which each quasistationary segment is associated with a fuzzy set of phonemes, was developed. We proposed the operation of the probabilistic triangular norm for fuzzy sets corresponding to the input frame and the nearest reference phoneme. The developed method was experimentally shown to allow a 1.5–5% reduction in the probability of erroneous recognition in comparison with known analogues.

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REFERENCES

  1. Springer Handbook of Speech Recognition, Ed. by J. Benesty, M. Sondh, and Y. Huang (Springer-Verlag, New York, 2008).

    Google Scholar 

  2. I. S. Kipyatkova and A. A. Karpov, Avtom. Telemekh., No. 5, 110 (2017).

  3. A. V. Savchenko, J. Commun. Technol. Electron. 59, 310 (2014).

    Article  Google Scholar 

  4. A. V. Savchenko and L. V. Savchenko, Pattern Recogn. Lett., No. 65, 145 (2015).

  5. O. N. Korsun, I. M. Finaev, V. Ya. Chuchupal, and A. A. Yatsko, Nauka Obrazov., No. 1, 103 (2013).

  6. A. V. Savchenko, J. Commun. Technol. Electron. 62, 788 (2017).

    Article  Google Scholar 

  7. A. A. Kargin and T. V. Sharii, Iskusst. Intellekt, No. 3, 210 (2010).

    Google Scholar 

  8. A. V. Savchenko, Search Techniques in Intelligent Classification Systems (Springer-Verlag, Switzerland, 2016).

    Book  MATH  Google Scholar 

  9. V. V. Savchenko, J. Commun. Technol. Electron. 62, 788 (2017).

  10. A. V. Savchenko, J. Commun. Technol. Electron. 61, 430 (2016).

    Article  Google Scholar 

  11. S. Kullback, Information Theory and Statistics (Dover Publications, New York, 1997).

    MATH  Google Scholar 

  12. N. Ramou and M. Guerti, J. Commun. Technol. Electron. 59, 1274 (2014).

    Article  Google Scholar 

  13. V. E. Antsiperov, J. Commun. Technol. Electron. 53, 65 (2008).

    Article  Google Scholar 

  14. V. V. Savchenko, J. Commun. Technol. Electron. 42, 393 (1997).

    Google Scholar 

  15. R. M. Gray, A. H. Gray, and Y. Masuyama, IEEE Trans. Acoust., Speech, Signal Process. 8, 367 (1980).

    Article  Google Scholar 

  16. L. V. Savchenko and A. V. Savchenko, in Proc. 6th Int. Conf. on Nonlinear Speech Processing (NOLISP 2013), Mons, Belgium, June 19–21, 2013 (NOLISP, 2013).

  17. R. Halavati, S. B. Shouraki, and S. H. Zadeh, Appl. Soft Comp. 7, 828 (2007).

    Article  Google Scholar 

  18. Professor Higgins: English without accent! (Certificate on the state registration of the computer, ZAO IstraSoft, 30.07.2009).

  19. V. V. Savchenko, Nauch. Vedom. Belgorod. Gos. Univ., Ser. Ekonomika. Informatika 33 (1), 74 (2015).

    Google Scholar 

  20. L. Gillick and S. J. Cox, in Proc. Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP-89), Glasgow (UK), May 1989 (IEEE, New York, 1989), Vol. 1, p. 532.

  21. A. V. Savchenko, Automation and Remote Control 74, 1225 (2013).

    Article  Google Scholar 

  22. A. V. Savchenko, Proc. Int. Joint Conf. on Rough Sets (IJCRS, 2017).

Download references

ACKNOWLEDGMENTS

The work was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of a subsidy by the Russian Academic Excellence Project “5-100”.

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Authors and Affiliations

  1. National Research University Higher School of Economics, 603155, Nizhny Novgorod, Russia

    L. V. Savchenko & A. V. Savchenko

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  1. L. V. Savchenko
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  2. A. V. Savchenko
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Correspondence to A. V. Savchenko.

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Translated by A. Ivanov

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Savchenko, L.V., Savchenko, A.V. Fuzzy Phonetic Encoding of Speech Signals in Voice Processing Systems. J. Commun. Technol. Electron. 64, 238–244 (2019). https://doi.org/10.1134/S1064226919030173

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  • DOI: https://doi.org/10.1134/S1064226919030173

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