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20 December 2024
Reseach Article

সহকারী - A Bengali Virtual Assistant

by Taslima Akbar, Naushin Nower
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 53
Year of Publication: 2022
Authors: Taslima Akbar, Naushin Nower
10.5120/ijca2022921946

Taslima Akbar, Naushin Nower . সহকারী - A Bengali Virtual Assistant. International Journal of Computer Applications. 183, 53 ( Feb 2022), 12-17. DOI=10.5120/ijca2022921946

@article{ 10.5120/ijca2022921946,
author = { Taslima Akbar, Naushin Nower },
title = { সহকারী - A Bengali Virtual Assistant },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2022 },
volume = { 183 },
number = { 53 },
month = { Feb },
year = { 2022 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number53/32288-2022921946/ },
doi = { 10.5120/ijca2022921946 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:19:48.488174+05:30
%A Taslima Akbar
%A Naushin Nower
%T সহকারী - A Bengali Virtual Assistant
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 53
%P 12-17
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Bengali is the 7th most widely spoken and morphological rich language in the world. However, Bengali Natural Language Processing research is not that rich compared to the other less spoken languages. In addition, a large portion of the Bengali native speaker is illiterate and facing difficulty using the computer because of English commands. A Bengali virtual assistant can solve this problem where people with difficulty in English can easily operate a computer or smartphone by instructing their native language Bengali. In this paper, a Bengali virtual assistant named ’সহকারী’ is developed that utilizes the CNN model to recognize the Bengali command. The CNN uses a spectrogram to identify the type of the commands and executes the responses. The designed Bengali virtual assistant can provide almost 87% accuracy in command detection.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Bengali Virtual Assistant CNN Spectrogram