K E Y W O R D S : collaboration, cooperation, empathy, instruction, performance

We discuss the connection between free-jazz music and service-oriented computing, and advance a method for formal, algebraic analysis of improvised performances; we aim for a better understanding of both the creative process of music improvising and the complexity of service-oriented systems. We formalize free-jazz performances as complex dynamic systems of services, building on the idea that a...

An experimental remote jazz jam session with uncompressed HDTV over the Internet was conducted on September 21st as a Grand Final event of the Aichi Exposition 2005. Professional jazz musicians located at the venue of Aichi Exposition and at SARA in Amsterdam have made the jazz jam session with new mechanisms called as “Internet Metronome” and “delay-control unit” using an international “lightp...

Musicians' skills in auditory processing depend highly on instrument, performance practice, and on level of expertise. Yet, it is not known though whether the style/genre of music might shape auditory processing in the brains of musicians. Here, we aimed at tackling the role of musical style/genre on modulating neural and behavioral responses to changes in musical features. Using a novel, fast ...

In this paper we describe a machine learning approach to one of the most challenging aspects of computer music: modeling the knowledge applied by a musician when performing a score in order to produce an expressive performance of a piece. We apply machine learning techniques to a set of monophonic recordings of Jazz standards in order to induce both rules and a numeric model for expressive perf...

Computational music structure analysis encompasses any model attempting to organize music into qualitatively salient structural units, which can include anything in the heirarchy of large scale form, down to individual phrases and notes. While much existing audio-based segmentation work attempts to capture repetition and homogeneity cues useful at the form and thematic level, the time scales in...

Free jazz refers to a historical movement that, despite earlier precedents, first significantly flowered in the late 1950s in the US. Its central focus was a liberation from musical conventions – but from a jazz player’s perspective, since no liberation is ever complete. Initially known simply as the New Thing, it became Free Jazz by borrowing the title of a seminal 1960 album by saxophonist/co...

We describe an unsupervised learning technique to facilitate automated creation of jazz melodic improvisation over chord sequences. Specifically we demonstrate training an artificial improvisation algorithm based on unsupervised learning using deep belief nets, a form of probabilistic neural network based on restricted Boltzmann machines. We present a musical encoding scheme and specifics of a ...

Instance-based machine learning techniques have been applied to predict the next chord in a piece of jazz music. This study compares off-line (trained on a static data base of songs) and on-line (trained on-the-fly) prediction techniques. A hybrid model combines both on-line and off-line models. On average, chords in a jazz piece are predictable 53% 17% of the time using the hybrid model. Succe...

I describe here my experience in interactive and improvised electro-acoustic music after having developed both hardware and software tools using which I compose and perform music. The research in the whole finds the roots in my active involvement in jazz music. This paper analyses the jazz approach to improvisation in terms of the involved components and emphasizes the importance of expressiven...