Audio Music Language Classification and Analysis Using TOPSIS

Proceedings of the 5th International Conference on Cyber Security & Privacy in Communication Networks (ICCS) 2019 | National Institute of Technology, Kurukshetra, India

10 Pages Posted: 30 Dec 2019

See all articles by Chirag Garg

Chirag Garg

Thapar Institute of Engineering and Technology Patiala, India.

Akashdeep Balu

Thapar Institute of Engineering and Technology Patiala, India.

Gagandeep Singh

Thapar Institute of Engineering and Technology Patiala, India.

Chirag Goel

Thapar Institute of Engineering and Technology Patiala, India.

Prashant Singh Rana

Thapar Institute of Engineering and Technology Patiala, India.

Date Written: December 29, 2019

Abstract

Indian Language classification in songs using Topsis comes under the field of Music Information Retrieval (MIR). Recently it has become a sought-after field among researchers for its future potential in organizing music corpus on video streaming and music streaming platforms, and also other broader studies in the fields like behavioural science of how a community can be traced through its music tastes and preferences. Music is characterize d by various features related to instrumentation, repetitive rhythmic structures, and gradual changes in harmony. Identifying a language from songs is considered a challenging task. We inquire into various machine learning algorithms to complete out the task of identifying audio language from music audio clips which include s classifiers such as SVM, KNN, Random Forest , LDA, Linear Regression, Naïve Bayes and more obtaining the best accuracy with 70%.

Suggested Citation

Garg, Chirag and Balu, Akashdeep and Singh, Gagandeep and Goel, Chirag and Singh Rana, Prashant, Audio Music Language Classification and Analysis Using TOPSIS (December 29, 2019). Proceedings of the 5th International Conference on Cyber Security & Privacy in Communication Networks (ICCS) 2019 | National Institute of Technology, Kurukshetra, India, Available at SSRN: https://ssrn.com/abstract=3511068 or http://dx.doi.org/10.2139/ssrn.3511068

Chirag Garg (Contact Author)

Thapar Institute of Engineering and Technology Patiala, India. ( email )

Akashdeep Balu

Thapar Institute of Engineering and Technology Patiala, India. ( email )

Gagandeep Singh

Thapar Institute of Engineering and Technology Patiala, India. ( email )

Chirag Goel

Thapar Institute of Engineering and Technology Patiala, India. ( email )

Prashant Singh Rana

Thapar Institute of Engineering and Technology Patiala, India. ( email )

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