Is Brazilian music getting more predictable? A statistical physics approach for different music genres

Automatic Music Genres Classification using Machine Learning

Classification of music genre has been an inspiring job in the area of music information retrieval (MIR). Classification of genre can be valuable to explain some actual interesting problems such as creating song references, finding related songs, finding societies who will like that specific song. The purpose of our research is to find best machine learning algorithm that predict the genre of s...

Finding Community Structure in Music Genres Networks

Complex networks have shown to be promising mechanisms to represent several aspects of nature, since their topological and structural features help in the understanding of relations, properties and intrinsic characteristics of the data. In this context, we propose to build music networks in order to find community structures of music genres. Our main contributions are twofold: 1) Define a total...

The Physics of Music

This chapter discusses the central physical phenomena involved in music. The aim is to provide an explanation of the related issues in an understandable level, without delving unnecessarily deep in the underlying mathematics. The chapter is divided in two main sections: musical sound sources and sound transmission to the observer. The first section starts from the definition of sound as wave mo...

A Statistical Approach to Modeling Indian Classical Music Performance

A raga is a melodic structure with fixed notes and a set of rules characterizing a certain mood endorsed through performance. By a vadi swar is meant that note which plays the most significant role in expressing the raga. A samvadi swar similarly is the second most significant note. However, the determination of their significance has an element of subjectivity and hence we are motivated to fin...

Genres, Subgenres, Sub-Subgenres and More: Musical and Social Differentiation Within Electronic/Dance Music Communities