Music Genre Classification Using Data Filtering Algorithm: An Artificial Intelligence Approach

Abstract

The rise of music industry across the globe can be seen with the new type of genre being created, and more artist and musicians joining this profession. A lot of music is created and launched every day. A major task for various music streaming platform is to classify these songs based on the genres and recommend music to the users. To overcome this many artificial intelligence algorithms are developed. One of the major problems in designing machine learning models is inadequate data for training. Certain dataset contains lot of redundant features that could cause the models to overfit. This problem could be resolved by data filtering. This paper has developed the multiple Artificial Intelligence (AI) models and applied data filtering method on the GTZAN dataset for music genre classification. A comparative analysis is done and discussed in this paper.