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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Machine Learning-Based Classification of Khasi Musical Instruments for Cultural Preservation
Authors
Mebanpynshai Lyngdoh Marshilong, Sushanta Kabir Dutta, Moirangthem Bhorot Singh, Yongyo HM
Keywords
Khasi, Khasi folk musical instruments, machine learning, Music Information Retrieval(MIR)
Abstract
Cultural folk music often faces negligence in front of Technological advancements resulting in the erosion of traditional musical heritage. This study aims to preserve the characteristics of Khasi folk musical instruments through music information retrieval (MIR) techniques to integrate Khasi folk music into the modern digital Technology era. We focus on extracting audio features like "Attack-Delay-Sustain-Release (ADSR)", "Zero-Crossing-Rate (ZCR)" "Spectral Centroid" "Spectral Rolloff" and "Spectral flux" from the sound produced by the Khasi folk musical instruments. The extracted features will be used to train the machine learning model and preserved for future use and reference. Our model used in this study consists of a bunch of Classifiers and we focus our analysis on 7 different types of Khasi folk musical instruments. We obtain a precision of 91%, a recall of 90%, and an F1-score of 90%.
IJCRT's Publication Details
Unique Identification Number - IJCRT2508074
Paper ID - 291262
Page Number(s) - a638-a643
Pubished in - Volume 13 | Issue 8 | August 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Mebanpynshai Lyngdoh Marshilong, Sushanta Kabir Dutta, Moirangthem Bhorot Singh, Yongyo HM, "Machine Learning-Based Classification of Khasi Musical Instruments for Cultural Preservation", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 8, pp.a638-a643, August 2025, Available at :http://www.ijcrt.org/papers/IJCRT2508074.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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