Conference Paper

The Effectiveness of the Implementation of Speech Command Recognition Algorithms in Embedded Systems

Volume: 23 September 30, 2023
  • Kamoliddin Shukurov *
  • Umidjon Khasanov
  • Boburkhan Turaev
  • A’lokhan Kakhkharov
EN

The Effectiveness of the Implementation of Speech Command Recognition Algorithms in Embedded Systems

Abstract

Speech is the basis of human-computer interfaces, smart house, IoT and control systems. Implementing a real time voice control system through speech commands recognition in different environments requires simple algorithms and special purpose systems. The article analyzes the existing speech commands recognition algorithms in embedded systems. A simple and efficient algorithm for voice control systems through limited speech commands has been proposed.

Keywords

References

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  2. Mazo M., Rodriguez F.J., Lazaro J.L., Urena J., Garcia J.C., Santiso E., Revenga P. & Garcia J.J. (1995).Wheelchair for physically ultrasonic and infrared sensor control. Autonomous Robots,2, 203-204.
  3. Melnikoff S.J., Quigley S.F. & Russell M.J. (2001). Implementing a hidden Markov Model speech recognition system in programmable logic. 11-th International Conference on Field Programmable Logic and Applications, Lecture Notes in Computer Scienc, 2147, 81-90.

Details

Primary Language

English

Subjects

Software Quality, Processes and Metrics

Journal Section

Conference Paper

Authors

Kamoliddin Shukurov * This is me
Uzbekistan

Umidjon Khasanov This is me
Uzbekistan

Boburkhan Turaev This is me
Uzbekistan

A’lokhan Kakhkharov This is me
Uzbekistan

Early Pub Date

September 25, 2023

Publication Date

September 30, 2023

Submission Date

June 9, 2023

Acceptance Date

September 1, 2023

Published in Issue

Year 2023 Volume: 23

APA
Shukurov, K., Khasanov, U., Turaev, B., & Kakhkharov, A. (2023). The Effectiveness of the Implementation of Speech Command Recognition Algorithms in Embedded Systems. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 23, 220-224. https://doi.org/10.55549/epstem.1365795