Human language, music and a variety of animal vocalizations constitute ways of sonic
communication that exhibit remarkable structural complexity. While the complexities of …

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

Various disconnected chord datasets are currently available for music analysis and
information retrieval, but they are often limited by either their size, non-openness, lack of …

Musicology: the Key Concepts provides a vital reference guide for students of contemporary
musicology. Its clear and accessible entries cover a comprehensive range of terms …

When designing a new study regarding how music can portray and elicit emotion, one of the
most crucial design decisions involves choosing the best stimuli. Every researcher must find …

Popular music is a key cultural expression that has captured listeners' attention for ages.
Many of the structural regularities underlying musical discourse are yet to be discovered …

In this paper we present a novel method for jointly extracting beats and downbeats from
audio signals. A recurrent neural network operating directly on magnitude spectrograms is …

Audio chord recognition has attracted much interest in recent years, but a severe lack of
reliable training data—both in terms of quantity and range of sampling—has hindered …

In all of the books about rock music, relatively few focus on the purely musical dimensions of
the style: dimensions of harmony and melody, tonality and scale, rhythm and meter, phrase …

This article explores the interactions of metric dissonance with phrase structure and form in
rock music, offers categorization schemes for common formal functions of metric dissonance …