The design of meaningful audio features is a key need to advance the state-of-the-art in
music emotion recognition (MER). This article presents a survey on the existing emotionally …

In this paper we present a new beat tracking algorithm which extends an existing state-of-the-
art system with a multi-model approach to represent different music styles. The system uses …

ABSTRACT Dynamic Bayesian networks (eg, Hidden Markov Models) are popular
frameworks for meter tracking in music because they are able to incorporate prior …

Choral singing is a central part of musical cultures across the world, yet many facets of this
widespread form of polyphonic singing are still to be explored. Music information retrieval …

This book provides a comprehensive overview of music data analysis, from introductory
material to advanced concepts. It covers various applications including transcription and …

The extraction of pitch information is arguably one of the most important tasks in automatic
music description systems. However, previous research and evaluation datasets dealing …

Flamenco is a music tradition from Southern Spain that attracts a growing community of
enthusiasts around the world. Its unique melodic and rhythmic elements, the typically …

Music loops are essential ingredients in electronic music production, and there is a high
demand for pre-recorded loops in a variety of styles. Several commercial and community …

This paper proposes a probabilistic approach for extracting time-varying and irregular time
signature information from polyphonic audio extracts, subsequently providing beat and bar …

This work deals with the task of melody extraction from symphonic music recordings, where
the term 'melody'is understood as 'the single (monophonic) pitch sequence that a listener …