Article or book title, author's surname, DOI

Articles 52

  1. Analysis of non-functional requirements of the speech recognition system Neurocomputers, No. 6, 2023 pp. 47-55
  2. The recognition method of new low-speed speech coding protocols Electromagnetic Waves and Electronic Systems, No. 8, 2019 pp. 72-94
  3. Speech recognition systems in corporate networks Electromagnetic Waves and Electronic Systems, No. 5, 2019 pp. 25-31
  4. Methodological aspects of automatic speech recognition on the basis of multivariate statistical theory Neurocomputers, No. 2, 2018 pp. 23-33
  5. Using ontologies to generate a set of voice commands in the problem of speech recognition of voice commands with background noise Radioengineering, No. 9, 2016 pp. 72-76
  6. Construction of system features for speech recognition neural network based Neurocomputers, No. 6, 2015 pp. 10-13
  7. Neural networks as classifiers in speech recognition systems Neurocomputers, No. 9, 2014 pp. 20-24
  8. Architecture and performance characteristics of speech recognition systems Neurocomputers, No. 12, 2013 pp. 22-30
  9. System of speech recognition for Russian language, using deep neural networks and finite state transducers Neurocomputers, No. 10, 2013 pp. 40-46
  10. Architecture and performance characteristics of speech recognition systems Dynamics of Complex Systems - XXI century, No. 2, 2013 pp. 84-93
  11. Speech command recognition in noises algorithm according to cross-correlation portraits with the use of Fourier transform Radioengineering, No. 9, 2012 pp. 41-44
  12. Automatic recognition of audio-visual russian speech by asynchronous model Information-measuring and Control Systems, No. 7, 2010 pp. 91-96
  13. The Fractal Analysis of the Speech Signal in Recognition of Emotional States in Simulated Situations Biomedical Radioelectronics, No. 1, 2010 pp. 3-7
  14. Extraction of voice features of speech signal based on discrete wavelet transform Achievements of Modern Radioelectronics, No. 10, 2024 pp. 10-16
  15. A method of window filtering of speech signals based on decomposition into empirical modes for systems for assessing a person's psychoemotional state Biomedical Radioelectronics, No. 2, 2023 pp. 32-37
  16. Automated neural network system for analyzing the emotional state of a person-operator Neurocomputers, No. 2, 2023 pp. 41-57
  17. Automatic speaker age and gender recognition based on deep neural networks Neurocomputers, No. 1, 2023 pp. 9-16
  18. Research into the capabilities of SPEECH-VOICE software products Neurocomputers, No. 1, 2023 pp. 5-8
  19. System of automatic analysis of methods for recognizing the emotional state of a person Neurocomputers, No. 5, 2021 pp. 33-50
  20. Methodology for neuron-network technologies in recognition of trigrams Neurocomputers, No. 1, 2020 pp. 5-17