Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM-2 2025)

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Automated Classification of Different Categories of Assamese Songs Using KNN and MLP

Authors
Spandan Kumar Barthakur1, 2, *, Parismita Sarma3
1Department of CSE, The Assam Royal Global University, Guwahati, Assam, India
2Department of Information Technology, Gauhati University, Guwahati, Assam, India
3Department of Information Technology, Gauhati University, Guwahati, Assam, India
*Corresponding author. Email: spandankumarb@gmail.com
Corresponding Author
Spandan Kumar Barthakur
Available Online 31 December 2025.
DOI
10.2991/978-2-38476-533-1_30How to use a DOI?
Keywords
Assamese songs; K-Nearest Neighbors(KNN); Multi-Layer Perceptron(MLP); Mel-Frequency Cepstral Coefficients (MFCCs); spectrograms; Bihu; Borgeet; Kamrupiya Lokageet; Goalporiya Lokageet; Naam
Abstract

This work is a tribute to the musical heritage of Assam that showcases an automated system for the classification of the regional Assamese songs of the state by the use of machine learning techniques beyond the traditional ones. By using KNN and MLT, which uses advanced audio feature extraction methods like Mel-Frequency Cepstral Coefficients (MFCCs) and spectrograms, to classify Assamese songs into music genres such as Bihu, Kamrupiya Lokageet, Goalporiya Lokageet, Borgeet, and Naam. This initiative is an endeavor to take over the situation where challenges faced due to modernization and globalization are the causes of the destruction of such melodious music.

Besides that, the digital archive of the cultural wealth of Assam acts as a bridge to connect with the residents of the world to raise awareness of intercultural appreciation and research. Technological advancements have indeed become a mighty force in the preservation and promotion of cultural and musical traditions. To name one, this repository is a necessary source of healing for scholars and educators, empathy and cultural sensitivity for diagnosis

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM-2 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 December 2025
ISBN
978-2-38476-533-1
ISSN
2352-5398
DOI
10.2991/978-2-38476-533-1_30How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Spandan Kumar Barthakur
AU  - Parismita Sarma
PY  - 2025
DA  - 2025/12/31
TI  - Automated Classification of Different Categories of Assamese Songs Using KNN and MLP
BT  - Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM-2 2025)
PB  - Atlantis Press
SP  - 489
EP  - 503
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-533-1_30
DO  - 10.2991/978-2-38476-533-1_30
ID  - Barthakur2025
ER  -