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GRENZE International Journal of Engineering and Technology Vol. 8 (2022), Issue 1

Tamil Filmy Music Genre Classifier using Deep Learning Algorithms

Authors

Christina Gnanamani, Shanthini Pandiaraj

Abstract

The objective of this work is to classify the genre of the given Tamil music using CNN algorithm. Music plays an important role in human’s life. Due to human evolution, the way of listening music and music catalogues also get advanced. So, this classifier technique helps the user to find the frequently used genre of that particular Tamil music. There are billions of songs in this world, so it is very difficult to classify the Tamil music genre of the songs by manual process for music streaming companies. Thus an accurate and predefined classifier is required, which can be succeed with deep learning using convolution neural network (CNN) algorithms. In this project, Jupyter notebook is used to compile the python code. The Machine is trained using GTZAN dataset which consist of 1000 audio tracks with 10 different types of Tamil music genres. To predict the specific Tamil music genre of the given audio file the feature of both the train and test data will be extracted and classification will be done with Convolution neural network algorithm and the output will be displayed.

Pages: 794 - 800