МАРКОВСКИЕ МОДЕЛИ КВАНТОВАННЫХ РЕЧЕВЫХ СИГНАЛОВ
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

MARKOV MODELS OF THE QUANTIZED SPEECH SIGNALS

Pletnev K.V.   Prozorov D.E.  

UDC 004.934.2
DOI:

  • Abstract
  • List of references
  • About authors

The article considers Markov models of the quantized speech signals (QSS). It is shown that correlation properties of the bit sequences obtained by the quantization of speech signals, allow it to apply the mathematical apparatus of simple or complex (multiply connected) finite Markov chains for the statistical description of the QSS. The method of parameterization based on Markov models of QSS reduces the performance requirements of systems of automatic speech recognition.

1. Oppengeym, A.V. Tsifrovaya obrabotka signalov / per. s angl. pod red. S.Ya. Shatsa / A.V. Oppengeym, R.V. Shafer // – M.: Svyaz', 1979. – 416 p.

2. Rabiner, L. Teoriya i primenenie tsifrovoy obrabotki signalov / Per. s angl. pod red. Yu. I. Aleksandrova / L. Rabiner, B. Gould // – M.: Mir. 1978. 835 p.

3. Saito, S. The Theoretical Consideration of Statistically Optimum Methods for Speech Spectral Density / S. Saito, F. Itakura // Report No. 3107, Electrical Communication Laboratory, N. T. T., Tokyo. 1966.

4. Atal, B.S. Predictive Coding of Speech Signals / B.S. Atal, M.R. Schroeder // Proc. 1967 Conf. Commun. and Proccess. pp. 360-361.

5. Markel, Dzh. Lineynoe predskazanie rechi / per. s angl. Yu.N. Prokhorova, V.S. Zvezdina / Dzh. Markel, A.Kh. Grey. – M. Svyaz'. 1980. 308 p.

6. Papamichalis, P.E. Practical Approaches to Speech Coding / Papamichalis P.E. // Prentice Hall, Englewood Cliffs. – NJ. 1987.

7. Yanshin V.V. Mnogosvyaznye tsepi Markova i ikh svoystva // Radiotekhnika i elektronika. 1993. Vol. 38. No. 6. pp. 1081-1091.

8. Prozorov D.E., Pletnev K.V. Chislennoe modelirovanie mnogosvyaznoy binarnoy tsepi Markova // Infokommunikatsionnye tekhnologii. 2014. No.2. pp. 8-11.

9. Venediktov, M.D. Del'ta-modulyatsiya. Teoriya i primenenie / M.D. Venediktov, Yu.P. Zhenevskiy, V.V. Markov // M.: Svyaz'. 1976. pp. 104- 114.

10. Kemeni, Dzh. Konechnye tsepi Markova. / Dzh. Kemeni, Dzh. Snell // Perevod s angl. Pod red. A. A. Yushkevicha. – M., «Nauka». 1970. 272 p.

11. Prozorov D.E. Markovskie modeli v zadachakh parametrizatsii rechevykh signalov / D.E. Prozorov, K.V. Pletnev // Zhurnal radioelektroniki: elektronnyy zhurnal. 2014. No.6. URL: http://jre.cplire.ru/jre/jun14/3/text.pdf (data obrashcheniya: 01.12.2015).

Pletnev Konstantin Vladimirovich

Email: kvpletnev@gmail.ru

Vyatka State University

Kirov, Russian Federation

Prozorov Dmitry Evgenievich
Doctor of Technical Sciences, Associate Professor

Vyatka State University

Kirov, Russian Federation

Keywords: markov models of speech signals, markov chains, parametrization, modeling

For citation: Pletnev K.V. Prozorov D.E. MARKOV MODELS OF THE QUANTIZED SPEECH SIGNALS. Modeling, Optimization and Information Technology. 2016;4(3). URL: https://moit.vivt.ru/wp-content/uploads/2016/10/PletnevProzorov_3_16_1.pdf DOI: (In Russ).

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Published 30.09.2016