Most of the time when we listen to music on the radio or on our portable devices, the order in
which the tracks are played is governed by so-called playlists. These playlists are basically …

We argue that an evaluation of system behavior at the level of the music is required to
usefully address the fundamental problems of music genre recognition (MGR), and indeed …

Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

As an essential subset of Chinese music, traditional Chinese folk songs frequently apply the
anhemitonic pentatonic scale. In music education and demonstration, the Chinese …

The comparison of world music cultures has been a recurring topic in the field of musicology
since the end of the nineteenth century. Recent advances in technology in the field of Music …

ABSTRACT jSymbolic is an open-source platform for extracting features from symbolic
music. These features can serve as inputs to machine learning algorithms, or they can be …

We propose a multi-modal approach to the music emotion recognition (MER) problem,
combining information from distinct sources, namely audio, MIDI and lyrics. We introduce a …

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

ABSTRACT The Million Song Dataset (MSD), a collection of one million music pieces,
enables a new era of research of Music Information Retrieval methods for large-scale …

This paper explores the measurement of individual music feature preference using human-
and computer-rated music excerpts. In the first of two studies, we correlated human ratings of …