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Articles 52
- Analysis of non-functional requirements of the speech recognition system pp. 47-55
- The recognition method of new low-speed speech coding protocols pp. 72-94
- Speech recognition systems in corporate networks pp. 25-31
- Methodological aspects of automatic speech recognition on the basis of multivariate statistical theory pp. 23-33
- Using ontologies to generate a set of voice commands in the problem of speech recognition of voice commands with background noise pp. 72-76
- Construction of system features for speech recognition neural network based pp. 10-13
- Neural networks as classifiers in speech recognition systems pp. 20-24
- Architecture and performance characteristics of speech recognition systems pp. 22-30
- System of speech recognition for Russian language, using deep neural networks and finite state transducers pp. 40-46
- Architecture and performance characteristics of speech recognition systems pp. 84-93
- Speech command recognition in noises algorithm according to cross-correlation portraits with the use of Fourier transform pp. 41-44
- Automatic recognition of audio-visual russian speech by asynchronous model pp. 91-96
- The Fractal Analysis of the Speech Signal in Recognition of Emotional States in Simulated Situations pp. 3-7
- Extraction of voice features of speech signal based on discrete wavelet transform pp. 10-16
- A method of window filtering of speech signals based on decomposition into empirical modes for systems for assessing a person's psychoemotional state pp. 32-37
- Automated neural network system for analyzing the emotional state of a person-operator pp. 41-57
- Automatic speaker age and gender recognition based on deep neural networks pp. 9-16
- Research into the capabilities of SPEECH-VOICE software products pp. 5-8
- System of automatic analysis of methods for recognizing the emotional state of a person pp. 33-50
- Methodology for neuron-network technologies in recognition of trigrams pp. 5-17