In this article, we comment on various definitions of the term gesture in the general literature of humanhuman and human-computer interaction and in the musica domain. Different propositions of gesture classifications are then discussed and topics from other disciplines, that are important to the discussion on gesture and music, are presented. Concepts developed by the first author related to i...

This paper introduces Die Lebensfreude, a pioneering piece of music composed with the aid of an amoeba-like plasmodial slime mould called Physarum polycephalum. The composition is for an ensemble of five instruments (flute, clarinet, violin, cello and piano) and six channels of electronically synthesises sounds. The instrumental part and the synthesised sounds are musifications and sonification...

The aim of this chapter is to give an overview of how the perception of a regular beat in music can be studied in humans adults, human newborns, and nonhuman primates using event-related brain potentials (ERPs). Next to a review of the recent literature on the perception of temporal regularity in music, we will discuss in how far ERPs, and especially the component called mismatch negativity (MM...

Gaussian mixture model (GMM) classifiers have been shown to give good instrument recognition performance for monophonic music played by a single instrument. However, many applications (such as automatic music transcription) require instrument identification from polyphonic, multi-instrumental recordings. We address this problem by incorporating ideas from missing feature theory into a GMM class...

This paper demonstrates the superiority of energy-based features derived from the knowledge of predominant-pitch, for singing voice detection in polyphonic music over commonly used spectral features. However, such energy-based features tend to misclassify loud, pitched instruments. To provide robustness to such accompaniment we exploit the relative instability of the pitch contour of the singin...

Antescofo is a modular anticipatory score following system that holds both instrumental and electronic scores together and is capable of executing electronic scores in synchronization with a live performance and using various controls over time. In its very basic use, it is a classical score following system, but in advanced use it enables concurrent representation and recognition of different ...

In this paper, we present a segmentation algorithm for acoustic musical signals, using a hidden Markov model. Through unsupervised learning, we discover regions in the music that present steady statistical properties: textures. We investigate different front-ends for the system, and compare their performances. We then show that the obtained segmentation often translates a structure explained by...

Significant changes in gait cycle parameters have been observed in individuals with Parkinson’s Disease (PD) during walking to rhythmically accentuated music (McIntosh et al., 1997; Thaut et al., 1996). These findings are consistent with previous studies that concluded that persons with PD compensate for basal ganglia malfunction by relying more heavily on external cues to guide movement, even ...

Recent research work has shown that the magnitude spectrogram of a song can be considered as a superposition of a low-rank component and a sparse component, which appear to correspond to the instrumental part and the vocal part of the song, respectively. Based on this observation, one can separate singing voice from the background music. However, the quality of such separation might be limited,...