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

Kamoliddin Shukurov; Umidjon Khasanov; Boburkhan Turaev; A’lokhan Kakhkharov

doi:10.55549/epstem.1365795

Conference Paper

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

Year 2023, Volume: 23, 220 - 224, 30.09.2023

Kamoliddin Shukurov Umidjon Khasanov Boburkhan Turaev A’lokhan Kakhkharov

https://doi.org/10.55549/epstem.1365795

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

Human-computer interface (HCI) , Hardware-software platform , Embedded system

References

Bahoura M. & Ezzaidi H. (2013). Hardware implementation of MFCC feature extraction for respiratory sounds analysis. 8th Workshop on Systems, Signal Processing and their Applications (WoSSPA), 226-229.
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.
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.

Year 2023, Volume: 23, 220 - 224, 30.09.2023

Kamoliddin Shukurov Umidjon Khasanov Boburkhan Turaev A’lokhan Kakhkharov

https://doi.org/10.55549/epstem.1365795

Abstract

References

Bahoura M. & Ezzaidi H. (2013). Hardware implementation of MFCC feature extraction for respiratory sounds analysis. 8th Workshop on Systems, Signal Processing and their Applications (WoSSPA), 226-229.
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.
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.

There are 3 citations in total.

Details

Primary Language	English
Subjects	Software Quality, Processes and Metrics
Journal Section	Articles
Authors	Kamoliddin Shukurov Umidjon Khasanov Boburkhan Turaev A’lokhan Kakhkharov
Early Pub Date	September 25, 2023
Publication Date	September 30, 2023
Published in Issue	Year 2023 Volume: 23

Cite

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