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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
  1. Visual Capitalist", [Online] Available at: https://www.visualcapitalist.com/100-most-spokenlanguages. Accessed on December 24, 2021.
  2. M.N. Sabab, M.A.R. Chowdhury, S.M.I. Nirjhor, J. Uddin, “Bangla speech recognition using 1D-CNN and LSTM with different dimension reduction techniques”, International Conference for Emerging Technologies in Computing  pp. 158-169, Springer, Cham August 2020.
  3. O. Sen, M. Fuad, M.D.Islam, J. Rabbi, M.D. Hasan, M.Baz, M. Masud, M. Awal, A.A. Fime, M. Fuad, and T. Hasan, M.D. Iftee, “ Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods”  arXiv preprint arXiv:2105.14875 2021.
  4. S. Varma (2018, June 14). [Online] Siri vs Google Assistant vs Alexa: Which Is the Smartest Virtual Assistant in 2018? Available at: https://gadgets.ndtv.com/apps/features/siri-vs-google-assistant-vsalexa-which-is-the-smartest-virtual-assistant-in-2018-1867292. Accessed on January 5, 2022.
  5. S.M. Islam, M.F.A. Houya, S.M. Islam, S. Islam, and N. Hossain, “Adheetee: A Comprehensive Bangla Virtual Assistant” IEEE 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) pp. 1-6, May 2019.
  6. T.D. Orin, “Implementation of a Bangla Chatbot ( Unpublished Bachelor Thesis)”, BRAC University, Dhaka, Bangladesh, 2017.
  7. A. Paul, A. Latif, A. A. Foysal, M. Rahman, “ Focused domain contextual AI chatbot framework for resource poor languages” Journal of Information and Telecommunication, pp. 1-22. 2018.
  8. M.A. Ali, M. Hossain, and M. N. Bhuiyan. "Automatic speech recognition technique for Bangla words." International Journal of Advanced Science and Technology, 50 (2013).
  9. J. Islam, M.Mubassira, M.R. Islam, A.K. Das, “A speech recognition system for Bengali language using recurrent neural network”, IEEE 4th international conference on computer and communication systems (ICCCS), pp. 73-76, February 2019.
  10. S.A. Sumon, J. Chowdhury, S. Debnath, N. Mohammed, S. Momen, “Bangla short speech commands recognition using convolutional neural networks” IEEE International Conference on Bangla Speech and Language Processing (ICBSLP),  pp. 1-6, September, 2018.
  11. M.R. Sultan, M.M. Hoque, F.U. Heeya, I. Ahmed, M.R. Ferdouse, S.M.A. Mubin, “Adrisya Sahayak: A Bangla Virtual Assistant for Visually Impaired” IEEE 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST),  pp. 597-602, January 2021.
  12. M.R. Sultan, M.M. Hoque, (2019, December). “ABYS (Always By Your Side): A Virtual Assistant for Visually Impaired Persons”, IEEE 22nd International Conference on Computer and Information Technology (ICCIT),  pp. 1-6, 2019.
Index Terms

Computer Science
Information Sciences

Keywords

Bengali Virtual Assistant CNN Spectrogram