Keywords: recognition, speech, system, modeling
THE FEATURES OF THE APPROACHES ASSOCIATED WITH SPEECH RECOGNITION
UDC 004.934
DOI:
The analysis methods to carry out speech recognition is considered. Some characteristics of systems for speech recognition are noted.
1. Klenyaeva G.V., Preobrazhensky A.P. Modern speech problems Acoustics and the construction of automatic speech recognition systems / Bulletin of the Voronezh Institute of High Technologies. 2007. T. 1. No. 2- 1, S. 071-074.
2. Latushko E.I. Modeling the semantic structure of the text in the process teaching foreign language indirect communication / Fundamental research. 2004. No. 2. P. 61-62.
3. Choporova EI, Meshcheryakova EI, Serostanova NN Structural transformations of a foreign language text in the process of summarizing it: integrated approach / Bulletin of the Voronezh State technical university. 2013. V. 9. No. 5-2. S. 127-129.
4. Choporova E.I. Basic techniques of lexical and syntactic design semantic dominants of the secondary text (based on English and French) / Scientific Bulletin of Voronezh State University of Architecture and Civil Engineering. Series: Modern linguistic and methodological-didactic research. 2014. No. 2 (22). S. 97-106.
5. Zyablov E.L., Preobrazhensky Yu.P. Linguistic development tools of intellectual support based on simulation-semantic modeling / Bulletin of the Voronezh Institute high tech. 2009. No. 5. S. 024-026.
6. Preobrazhensky Yu.P. The algorithm for finding the optimal stationary strategy for Markov decision-making processes / Bulletin of the Voronezh Institute of High Technologies. 2010. No. 6. S. 81-82.
7. Ermolova VV, Preobrazhensky Yu.P. Construction Methodology semantic object model / Bulletin of the Voronezh Institute high tech. 2012. No. 9. P. 87-90.
8. Golovinov S.O., Mironchenko S.G., Schepilov E.V., Preobrazhensky A.P. Digital signal processing / Bulletin of the Voronezh Institute high tech. 2009. No. 4. S. 064-065.
9. Syshchikova D.S. About multimedia options technology in the educational process / successes of modern natural sciences. 2012. No. 6. S. 111-112.
10. Ivanov M.S., Preobrazhensky Yu.P. Clipping Algorithm Development Trees / Bulletin of the Voronezh Institute of High Technologies. 2008. No. 3. S. 031-032.
11. Lvovich Ya.E., Preobrazhensky Yu.P., Panevin R.Yu. Adaptive management of Markov processes in a conflict situation / Bulletin of the Voronezh State Technical University. 2008.V. 4. No. 11. P. 170-171.
12. Fomina Yu.A., Preobrazhensky Yu.P. Indexing Principles information in search engines / Bulletin of the Voronezh Institute high tech. 2010. No. 7. S. 98-100.
13. Lvovich Ya.E., Lvovich I.Ya. Making decisions in an expert virtual environment / Voronezh Institute of High Technologies, Russian New University, Voronezh branch. Voronezh, OOO "Publishing house" Scientific book ", 2010, 139 p.
14. Kudrina O.S. About the problems of media education / Modern high technology. 2013. No. 8-1. S. 72-73.
15. enkov P.V. Expert methods for improving management systems / Bulletin of the Voronezh Institute of High Technologies. 2012. No 9. S. 108-110.
16. Choporov O.N., Chupeev A.N., Bregeda S.Yu. Significance Analysis Methods indicators for classification and prognostic modeling / Bulletin of the Voronezh State technical university. 2008. T. 4. No. 9. P. 92-94.
17. Kalaev V.N., Kalaeva EA, Preobrazhensky A.P., Khorseva O.V. Regression analysis in biological research / System analysis and management in biomedical systems. 2007.V. 6. № 3. S. 755-759.
18. Lvovich I.Ya., Preobrazhensky A.P. About the characteristics of training systems / Bulletin of the Voronezh Institute of High Technologies. 2013. No. 11. S. 179-180.
19. Anikin V.V., Ayupov R.Sh., Ayupova K.V., Batenkina O.V., Vaskiv O.M.V., Zavistovskaya T.A., Ipatov Yu.A., Kastargin M.A., Kovalev A.Yu., Kovaleva N.A., Kovshov E.E., Krevetsky A.V., Kulneva E.Yu., Lvovich I.Ya., Marakasov F.V., Nyrkov A.P., Preobrazhensky A.P., Savchenko A.A., Sokolov S.S., Khozyainova T.V., Chernova O.V., Shevchuk I.B., Schelokov S.A. Automation and information technology - from statement before commissioning / Odessa, 2013, Publisher: Kuprienko Sergey Vasilievich, 216 p.
20. Preobrazhensky A.P. Analysis of coding methods of different types Information / Bulletin of the Voronezh Institute of High Technologies. 2013. No. 10. P. 74-77.
21. Fedorinova N.V., Preobrazhensky A.P. Corrective Study code abilities / Bulletin of the Voronezh Institute of High technology. 2008. No. 3. S. 094-097.
22. Kravets O.Ya., Makarov O.Yu., Oleinikova S.A., Pitolin V.M., Choporov O. Features of the software design of switching subsystems as part of distributed operational alert systems and monitoring / Management systems and information technology. 2013.V. 52. No. 2. P. 50-54.
23. Zavyalov D.V. On the application of information technology / Modern high technology. 2013. No. 8-1. S. 71-72.
24. Choporov O.N., Naumov N.V., Kutashova L.A., Agarkov A.I. Methods preliminary processing of information in system analysis and simulation of medical systems / Postgraduate doctor. 2012.V. 55. No. 6.2. S. 382-390.
25. Klimenko G.Ya., Kosolapov V.P., Choporov O.N. Methodology and Results transforming linguistic characteristics into numerical estimates risk factors / Consultium. 2001. No. 4. P. 25.
26. Choporov O.N., Gladskikh N.A., Pronin S.S., Chudinov M.I., Semenov S.N., Matyushevsky K.L. Streamlining regional management systems based on the use of systems analysis methods, information and GIS technologies / Applied information aspects of medicine. 2007.V. 10. No. 2. P. 15-19.
27. Deshina A.E., Choporov ON, Razinkin K.A. Information risks in multiserver systems: selection of protection system parameters / Information and security. 2013.V. 16. No. 3. S. 365-370.
28. Kartashov S.S. Features of processing text data / Bulletin Voronezh Institute of High Technologies. 2014. No. 12. P. 124-126.
29. Pervushin EA Overview of main speaker recognition methods Mathematical Structures and Modeling 2011, no. 24, p. 41-54.
Keywords: recognition, speech, system, modeling
For citation: Горбенко О.N., Rozhkova A.A. THE FEATURES OF THE APPROACHES ASSOCIATED WITH SPEECH RECOGNITION. Modeling, Optimization and Information Technology. 2014;2(4). URL: https://moit.vivt.ru/wp-content/uploads/2015/01/GorbenkoRozhkova_4_14_1.pdf DOI: (In Russ).
Published 31.12.2014