Motivic pattern classification from music audio recordings is a challenging task. More so in
the case of a cappella flamenco cantes, characterized by complex melodic variations, pitch …

This article proposes a virtual reality‐based management system for vocal music instruction.
Additionally, this article proposes an improved algorithm for automatic vocal main melody …

Featured Application The onset, offset, and transition detector algorithm that this paper is
proposing can be used in singing assessment, note extraction, score following, automatic …

In this interdisciplinary thesis I attend to the rhythmic variability of the phrases whose
repetition is such a distinctive feature of humpback whale song, listening and responding as …

Flamenco is a rich performance-oriented art music genre from Southern Spain, which
attracts a growing community of aficionados around the globe. The constantly increasing …

Singing signals are one of the input data that computer systems need to analyse, and
singing is part of all the cultures in the world. However, although there have been several …

The computer automatic genre analysis of music has great theoretical significance and
practical value for the retrieval, classification, distribution and research of music works. At …

The study of motivic patterns has played an important role in the understanding of various
natural, cognitive, social, and cultural phenomena in the sciences and humanities. Minimally …

Discovering patterns reoccurring within a collection of pieces is a fundamental type of music
corpus analysis. The inverted task is to discover patterns that are surprisingly infrequent in a …

Flamenco is a rich performance-oriented art music genre from Southern Spain which attracts
a growing community of aficionados around the globe. Due to its improvisational and …