This paper provides a guide through the FMP notebooks, a comprehensive collection of
educational material for teaching and learning fundamentals of music processing (FMP) with …

The revolution in music distribution, storage, and consumption has fueled tremendous
interest in developing techniques and tools for organizing, structuring, retrieving, navigating …

This paper presents a novel supervised approach to detecting the chorus segments in
popular music. Traditional approaches to this task are mostly unsupervised, with pipelines …

Music segmentation is the task of automatically identifying the different segments of a piece.
In this work we present a novel approach to cluster the musical segments based on their …

Computational aesthetics evaluation has made great achievements in the field of visual arts,
but the research work on music still needs to be explored. Although the existing work of …

Music Structure Analysis (MSA) is the task aiming at identifying musical segments that
compose a music track and possibly label them based on their similarity. In this paper we …

In this paper, we study the scalable discovery of audio repetitive patterns/motifs in long
broadcast streams, where two segments are said to be repetitive if their audio fingerprints …

The sonata form has been one of the most important large-scale musical structures used
since the early Classical period. Typically, the first movements of symphonies and sonatas …

Computational aesthetic evaluation has made remarkable contribution to visual art works,
but its application to music is still rare. Currently, subjective evaluation is still the most …

Time series motif discovery (TSMD) refers to the task of identifying patterns that occur
multiple times (possibly with minor variations) in a time series. All existing methods for TSMD …