An Intelligent Music Genre Classification Method with Feature Extraction based on Deep Learning Techniques

Abstract

The music genre is a standard category that identifies some piece of music that belongs to a shared set of conventions. The physical musical albums are further replaced by digital music due to the varied interest. In order to enhance the efficiency and accuracy in digital music genre, deep learning technique is used. Deep learning is a type of machine learning and artificial intelligence which makes the process faster and earlier through training and learning process. This is an unsupervised learning technique that uses the way of automatic predictive analysis. It enhances to learn high level features from data in a sequential manner.