Vol.10, No.2, May 2021.                                                                                                                                                                                    ISSN: 2217-8309

                                                                                                                                                                                                                         eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Recognition of Voice Commands Based on Neural Network

 

Vyacheslav Lyashenko, Farah Laariedh, Svitlana Sotnik, M. Ayaz Ahmad

 

© 2021 M. Ayaz Ahmad, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 10, Issue 2, Pages 583-591, ISSN 2217-8309, DOI: 10.18421/TEM102-13, May 2021.

 

Received: 03 February 2021.

Revised:   02 May 2021.
Accepted:  10 May 2021.
Published: 27 May 2021.

 

Abstract:

 

The paper considers features of voice commands pronunciation models, namely, dependence: system accuracy on number of states for phonemes; system accuracy on learning rate; accuracy of system on value of training set. A speech recognition system based on neural networks is proposed. A speech recognition system is not easy to implement and requires an understanding of speech recognition basics. The developed system is compared with Speech Recognition from Google and Pocket Sphinx. The proposed system can recognize voice commands with an accuracy of 84.4 %.

 

Keywords –intelligent, system, recognition, voice, commands.

 

-----------------------------------------------------------------------------------------------------------

Full text PDF >  

-----------------------------------------------------------------------------------------------------------

 


Copyright © 2021 UIKTEN
Copyright licence: All articles are licenced via Creative Commons CC BY-NC-ND 4.0 licence