In this paper I introduce the RWC (Real World Computing) Music Database, a copyright-cleared music database (DB) that is available to researchers as a common foundation for research. Shared DBs are common in other research fields and have made significant contributions to progress in those fields. The field of music information processing, however, has lacked a common DB of musical pieces or a ...

The purpose of the article is to reveal specifics children's musicals in system musical and theatre genres using example Ukrainian authors’ works; establish a complete set genre aesthetic features modern musical. Research methodology. method systemic genre-stylistic analysis was applied, thanks which considered as an independent theatrical art, stylistic features, well artistic specificity were...

We describe a system for automatic chord transcription from the raw audio using genre-specific hidden Markov models trained on audio-from-symbolic data. In order to avoid enormous amount of human labor required to manually annotate the chord labels for ground-truth, we use symbolic data such as MIDI files to automate the labeling process. In parallel, we synthesize the same symbolic files to pr...

According to a programmatic article by Philip Tagg on theoretical, methodological and practical aspects of popular music studies (Tagg (1982)), folk or traditional music is one of the three possible kinds of music, together with classical (or art music) and popular music. This typology constitutes what Tagg calls an axiomatic triangle of musical genres, each of which being characterized by crit...

In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR) applications. Two challenging tasks in this area are the automatic recognition of musical genre and melody extraction, having a number of applications like indexing and selecting musical databases. One of the main references for music is its melody. In a practical environment o...

Musical genre classification is the automatic classification of audio signals into user defined labels describing pieces of music. A problem inherent to genre classification experiments in music information retrieval research is the use of songs from the same artist in both training and test sets. We show that this does not only lead to overoptimistic accuracy results but also selectively favou...

Genre is a category of artistic, musical, or literary composition characterized by a particular style, form, or content (according to Merriam-Webster Online Dictionary [2] – among two other, less relevant definitions). It can be debated whether a genre can be defined by style (and form) alone, or must content (topic) also be taken into account. For example, can science fiction be distinguished ...

A major challenge in computer generated music is breaking the barrier between musical novelty and musical quality. Typically, computer music generators produce either genre-specific patterns that lack innovation or patterns that are given too much freedom and lack cohesion. In an attempt to both constrain the musical search space and produce novel rhythms, a program called NEAT Drummer is intro...

This paper examines the idea that attraction to music is generated at a cognitive level through the formation and activation of networks of interlinked "nodes." Although the networks involved are vast, the basic mechanism for activating the links is relatively simple. Two comprehensive cognitive-behavioral models of musical engagement are examined with the aim of identifying the underlying cogn...