Skip to Main Content

Modelling and Data Analysis
2022. Vol. 12, no. 3, 49–57
doi:10.17759/mda.2022120304
ISSN: 2219-3758 / 2311-9454 (online)

Voice Commands Recognition Method that Uses Special Spectral Density Transform

 
Audio is AI-generated
163

PDF (RUS)
Online translation in english
GS
Information
in Google Scholar
Metrics

Abstract

This article discusses new approach to solving specific problem of speech recognition. The problem is formulated as problem of command recognition. Commands have equal lengths (in words). Each word position has its own set of word candidates. There were developed the models for solving this problem. The models consist of spectral density estimator, convolutional neural networks and naive Bayes classifier. The author performed a comparative analysis of the models and selected the best. There was developed a graphical user interface for interacting with the best model. The result can be used as a base for creation speech recognition methods for voice user interfaces.

General Information

Keywords: automatic speech recognition, spectral density estimation, convolutional neural networks

Journal rubric: Software

OpenAlex citations: 1

OpenAlex trends: Advanced Scientific Research Methods, Advanced Computational Techniques in Science and Engineering, Advanced Research in Systems and Signal Processing

Information about the work in OpenAlex

Number of citations: 1

Topics

Advanced Scientific Research Methods

This cluster of papers covers a wide range of topics related to innovations in food technology and processing, including mathematical modeling of extraction and production processes, biotechnological aspects of food production, quality assessment, nutritional value, and process optimization. The papers explore various methods and techniques for improving the production, quality, and nutritional value of food products.

Number of works: 26719  |  Total number of citations: 128093

Topic detailsв OpenAlex

Advanced Computational Techniques in Science and Engineering

This cluster of papers focuses on the intersection of Internet of Things (IoT) and healthcare systems, including topics such as remote monitoring, algorithmic modeling, wireless sensor networks, telemedicine, biomedical signal processing, and digital information management. The papers also touch upon the application of IoT in smart city healthcare systems and the use of corpus analysis in technical writing classrooms.

Number of works: 19217  |  Total number of citations: 82460

Topic detailsв OpenAlex

Advanced Research in Systems and Signal Processing

This cluster of papers focuses on the integration of cyber, physical, and social systems, with an emphasis on decision making, urban computing, autodyne sensors, machine learning, data mining, transportation systems, information management, parallel computing, and infrastructure development.

Number of works: 31317  |  Total number of citations: 164598

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2022120304

Published

For citation: Levonovich, N.I. (2022). Voice Commands Recognition Method that Uses Special Spectral Density Transform. Modelling and Data Analysis, 12(3), 49–57. (In Russ.). https://doi.org/10.17759/mda.2022120304

© Levonovich N.I., 2022

License: CC BY-NC 4.0

References

  1. Sak, Haşim, et al. "Fast and accurate recurrent neural network acoustic models for speech recognition." arXiv preprint arXiv:1507.06947 (2015).
  2. L. S. Kuravskii, S. N. Baranov Komp'yuternoe modelirovanie i analiz dannykh. Konspekty lektsii i uprazhneniya: Ucheb. posobie. – M.: RUSAVIA, 2012. – 218 p.
  3. Dumoulin, Vincent, and Francesco Visin. "A guide to convolution arithmetic for deep learning." arXiv preprint arXiv:1603.07285 (2016).
  4. Ch, Read, and ML MAP. "Bayesian learning." book: Machine Learning. McGraw-Hill Science/Engineering/Math (1997): 154-200.
  5. Virbel, Mathieu, Thomas Hansen, and Oleksandr Lobunets. "Kivy–a framework for rapid creation of innovative user interfaces." Workshop-Proceedings der Tagung Mensch & Computer 2011. überMEDIEN| ÜBERmorgen. Universitätsverlag Chemnitz, 2011.

Information About the Authors

Nikita I. Levonovich, Research Assistant, Quantitative Psychology Laboratory, IT Center, Faculty of Information Technology; , Moscow State University of Psychology and Education (MSUPE), Second-Year Master's Student, Faculty of Information Technology; Head of the Research and Production Center Levonik, Dmitrov, Russian Federation, ORCID: https://orcid.org/0000-0002-8580-0490, e-mail: levonikitatech@yandex.ru

Metrics

 Web Views

Whole time: 560
Previous month: 13
Current month: 9

 PDF Downloads

Whole time: 163
Previous month: 5
Current month: 5

 Total

Whole time: 723
Previous month: 18
Current month: 14