A Survey on Music Genre Classification Using Multimodal Information Processing and Retrieval
Shreya G. Abhyankar, Shashank S. Bharadwaj, G. Shobha Rani, Pruthvi G. Karigiri, Sahana Srikanth, Sanjeev Gurugopinath
Abstract
Musical descriptors play a very crucial role in automatic music genre classification. With the increase in digitized music, query and retrieval of musical data has always been subjective and controversial. More often, a musical clip is often spread across the genres, making the classification process very challenging. This paper presents a contemporary survey of the recent advances made in the classification of music genre using different machine learning and deep learning algorithms. Specifically, it looks into the recent developments in the area of genre classification based on audio based descriptors, image based descriptors, and other descriptors which include album cover art, brain signals, lyrics and musical instrument digital interface data.