Web Application for Machine Learning based Music Genre Classification
Jugal Chauhan, Jash Shah, Eeshan Mundhe, Ishan Jain · 2021
With the tremendous increase in the number of songs produced, categorizing them has become a difficult process. It's a good idea to categorize them according to their genre. To resolve this quandary, this paper introduces a web application that uses Machine Learning techniques to automatically classify a music file into its genre. Any .wav audio file can be uploaded to the application, which will accurately assess its genre and classify it accordingly. Django is used to create the web application, and three algorithms are tested for accuracy and performance. Of these three methods, the Support Vector Machine approach has the highest accuracy – Deep Neural Network (Keras library), Support Vector Machine, K Nearest Neighbors – and is thus chosen for the web application.