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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 7, 2019.
Abstract: Voice control is an important function in many mobile devices, in a smart home, especially in providing people with disabilities a convenient way to communicate with the device. Despite many studies on this problem in the world, there has not been a formal study for the Vietnamese language. In addition, many studies did not offer a solution that can be expanded easily in the future. During this study, a dataset of Vietnamese speech commands is labeled and organized to be shared with community of general language research and Vietnamese language study in particular. This paper provides a speech collection and processing software. This study also designs and evaluates Recurrent Neural Networks to apply it to the data collected. The average recognition accuracy on the set of 15 commands for controlling smart home devices is 98.19%.
Phan Duy Hung, Truong Minh Giang, Le Hoang Nam and Phan Minh Duong, “Vietnamese Speech Command Recognition using Recurrent Neural Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 10(7), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100728
@article{Hung2019,
title = {Vietnamese Speech Command Recognition using Recurrent Neural Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100728},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100728},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {7},
author = {Phan Duy Hung and Truong Minh Giang and Le Hoang Nam and Phan Minh Duong}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.