Present Absence is a work that integrates electronic processing and live performance. It is approximately 20 minutes long and is divided into three movements. The movements are distinct from each other, but are related through various elements. Incorporating electronic processing and live performance can be cumbersome. The primary objective of this piece is to use electronic processing in a manner that liberates the performers from any restrictions imposed by the use of electronic processing. The electronic processing in the work is accomplished through the program MAX/Msp, a real-time digital signal processing environment. The patch that was created for this piece is called MOO-V. This paper discusses the both the technical details in the construction of this patch, and the aesthetic it serves.

Augeries is a multi-channel electro-acoustic composition for flute, clarinet, percussion, and tape. It is intended to be diffused through an 8-channnel playback system. Inspired by the first four lines of William Blake's Augeries of Innocence, Augeries captures the qualitative aspects of Blake's poetry by presenting the listener with an equally aperspectival aesthetic experience. The small-scale structure reflected on the large-scale form - the infusion of vastness and expansiveness into the fragile and minute. Augeries incorporates techniques of expansion and contraction, metonymic relationships, dilation and infolding of time, and structured improvisation to create an experience that is designed to explore the notion of musical time, and to bring to the listener the sense of time freedom. The critical analysis suggests that the increase in the notions of musical time, the aesthetics with which they conform, and the new time forms created, encapsulate communicative significance. This significance exists within a horizon of meaning. Semiotics illuminates an understanding of the structuring techniques used to render time as an area of artistic play. Understanding the aesthetics and mechanisms through which these techniques can be used constitutes a shared horizon of meaning. The concepts of cultural phenomenologist Jean Gebser, as explicated in The Ever-Present Origin, are used to contextualize these notions, through a description of the various consciousness structures with specific attention to the space-time relationships. Of specific concern are the aperspectival manifestations in music in the twentieth century and beyond. Special emphasis is given to the area of electro-acoustic music, particularly spectral music. The theoretical analysis explores how the various techniques are used to create an aperspectival experience, and includes specific descriptions of the technique of refraction as metonymy, and pitch set analysis of the technique of expansion and contraction.

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Iconographs is such a composition in which mathematical techniques are brought to bear. Nine separate number series have been generated and carried out to 1024 units. These series are combined by addition to calculate a single number by taking the remainder after dividing the sum of the series by nine. This mod 9 reduction is used to choose a set of pitches. Iconographs is a composition for microcomputer and chamber orchestra written in proportional notation with 1024 time segments grouped into 32 pages of 32 time segments each. The duration for each segment is .618034 seconds, which is the Golden Mean of one second, represented in a horizontal space of .34375 inches. The horizontal space/time-frame proportion is consistent but the actual duration of sounds are only approximate. The duration of the entire composition is 10.54778 minutes with a total horizontal space of 352 inches. The structure of the composition as a whole has no relationship to any of the traditional forms does contain a focus of formal structure at time-frame number 632, the Golden Mean. This focus is expressed by a density of sound events in all parts.

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Les systèmes actuels d’improvisation musicales sont capables de générer des séquences musicales unidimensionnelles par recombinaison du matériel musical. Cependant, la prise en compte de plusieurs dimensions (mélodie, harmonie...) et la modélisation de plusieurs niveaux temporels sont des problèmes difficiles. Dans cette thèse, nous proposons de combiner des approches probabilistes et des méthodes issues de la théorie des langages formels afin de mieux apprécier la complexité du discours musical à la fois d’un point de vue multidimensionnel et multi-niveaux dans le cadre de l’improvisation où la quantité de données est limitée. Dans un premier temps, nous présentons un système capable de suivre la logique contextuelle d’une improvisation représentée par un oracle des facteurs tout en enrichissant son discours musical à l’aide de connaissances multidimensionnelles représentées par des modèles probabilistes interpolés. Ensuite, ces travaux sont étendus pour modéliser l’interaction entre plusieurs musiciens ou entre plusieurs dimensions par un algorithme de propagation de croyance afin de générer des improvisations multidimensionnelles. Enfin, nous proposons un système capable d’improviser sur un scénario temporel avec des informations multi-niveaux représenté par une grammaire hiérarchique. Nous proposons également une méthode d’apprentissage pour l’analyse automatique de structures temporelles hiérarchiques. Tous les systèmes sont évalués par des musiciens et improvisateurs experts lors de sessions d’écoute / Current musical improvisation systems are able to generate unidimensional musical sequences by recombining their musical contents. However, considering several dimensions (melody, harmony...) and several temporal levels are difficult issues. In this thesis, we propose to combine probabilistic approaches with formal language theory in order to better assess the complexity of a musical discourse, both from a multidimensional and multi-level point of view in the context of improvisation where the amount of data is limited. First, we present a system able to follow the contextual logic of an improvisation modelled by a factor oracle whilst enriching its musical discourse with multidimensional knowledge represented by interpolated probabilistic models. Then, this work is extended to create another system using a belief propagation algorithm representing the interaction between several musicians, or between several dimensions, in order to generate multidimensional improvisations. Finally, we propose a system able to improvise on a temporal scenario with multi-level information modelled with a hierarchical grammar. We also propose a learning method for the automatic analysis of hierarchical temporal structures. Every system is evaluated by professional musicians and improvisers during listening sessions