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JOURNALS // Izvestiya of Saratov University. Mathematics. Mechanics. Informatics

Izv. Saratov Univ. Math. Mech. Inform., 2017, Volume 17, Issue 4, Pages 452–464 (Mi isu738)

Development of speech recognition systems based on hidden Markov models of individual words
A. N. Savin, N. E. Timofeeva, A. S. Geraskin, Yu. A. Mavlyutova

References

1. Zhilyakov E. G., Babarinov S. L., Chadyuk P. V., “Google Inc. Russian Speech Recognition Service Research”, Belgorod State University Scientific Bulletin. Ser. History. Political science. Economics. Information technologies, 15(158):27/1 (2013), 247–255 (in Russian)
2. Titov Y. N., “Modern technologies of speech recognition”, Tambov University Reports. Ser. Natural and Technical Sciences, 11:4 (2006), 571–574 (in Russian)
3. Savin A. N., Timofeeva N. E., Geraskin A. S., Mavlutova Yu. A., “The development of software components for streaming audio content filtering through the use of hidden Markov models”, Izv. Saratov Univ. (N.S.), Ser. Math. Mech. Inform., 15:3 (2015), 340–350  mathnet  crossref  zmath
4. Rabiner L. R., “A tutorial on hidden Markov models and selected applications in speech recognition”, Proceedings of the IEEE, 77:2 (1989), 257–286  crossref
5. Portal of company National Instruments Russia (accessed 25 December, 2012)
6. Blahut R. E., Fast Algorithms for Digital Signal Processing, Repr. with corrections edition, Addison-Wesley Publ. Co., 1987, 441 pp.  mathscinet
7. Adler Ju. P., Markova E. V., Granovskij Ju. V., Planning an experiment searching for optimal conditions, Nauka, M., 1976, 279 pp. (in Russian)


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