This document presents an analysis of Music Knowledge as a first step towards music representation for composition. After an introductory review of music computing evolution, several approaches to music knowledge are described: the system levels context, music theory and disciplines, dimensions in music, and finally the creative process. Then, the composition knowledge is analyzed at the symbol...

Music is a domain with several dimensions and some specific characteristics. When different types of music are considered, modeling this domain becomes even more challenging. This paper presents some of the characteristics that makes music such an interesting domain to model and summarizes a conceptualization process based on the Dahlberg conceptual triangle for guiding the construction of an o...

We consider the problem of personalized text-based music retrieval where users’ history of preferences are taken into account in addition to their issued textual queries. Current retrieval methods mostly rely on songs meta-data. This limits the query vocabulary. Moreover, it is very costly to gather this information in large collections of music. Alternatively, we use music annotations retrieve...

This paper describes a Markov source model for a simple subset of printed music notation. The model is based on the Adobe Sonata music symbol set and a message language of our own design. Chord imaging is the most complex part of the model. Much of the complexity follows from a rule of music typography that requires the noteheads for adjacent pitches to be placed on opposite sides of the chord ...

Music information retrieval (MIR) is small, but fast growing discipline. It aims at extraction of relevant information from music in order to improve the work with multimedia information systems. A popular approach in MIR is to apply signal processing techniques to extract low-level features from a musical piece. However, in order to create helpful applications, high-level concepts, such as mus...

Music information retrieval (MIR) is small, but fast growing discipline. It aims at extraction of relevant information from music in order to improve the work with multimedia information systems. A popular approach in MIR is to apply signal processing techniques to extract low-level features from a musical piece. However, in order to create helpful applications, high-level concepts, such as mus...