Unconventional Computing and Music: An Investigation into Harnessing Physarum polycephalum

This thesis presents an investigation into developing musical systems with an Unconventional Computing substrate. Computer musicians have found it difficult to access the field of Unconventional Computing, which is likely due to its resource-intensive and complex nature. However, ongoing research is establishing the myxomycete Physarum polycephalum as a universally-accessible and versatile biological computing substrate. As such, the organism is a potential gateway for computer musicians to begin experimenting with aspects of Unconventional Computing. Physarum polycephalum, in its vegetative plasmodium form, is an amorphous unicellular organism that can respond with natural parallelism to the environmental conditions that surround it. This thesis explores the challenges and opportunities related to developing musical systems with Physarum polycephalum. As this area of inquiry is in its infancy, the research took inspiration from a common approach in Unconventional Computing: a journey of exploration and discovery. This journey consisted of a selection of waypoints that provided direction while allowing the research to explore applications of Physarum polycephalum in order to establish how it may be useful in Computer Music. These waypoints guided the research from adapting established prototypes for musical application to developing purpose-made musical demonstrators for use outside of the laboratory. Thus, the thesis reports on a series of Computer Music systems that explore one or more features of Physarum polycephalum's behaviour and physiology. First, the text presents an approach to algorithmic composition that exploits the organism's ability to form and reconfigure graph-like structures. Next, the thesis reports on systems that harness the plasmodium's electrical potential oscillations for sound synthesis and compositional tools. Finally, the thesis presents musical devices that encompass living plasmodium as electrical components. Where applicable, the thesis includes artefacts from demonstrations of these systems, some of which were developed in collaboration with a composer. The findings from this journey demonstrate that Physarum polycephalum is an appropriate substrate for computer musicians wanting to explore Unconventional Computing approaches creatively. Although Physarum polycephalum is relatively robust as a biological substrate, several obstacles arose during this project. This research addressed such obstacles by reviewing and selecting approaches that maintained the organism's accessibility to computer musicians. As a result, the work suggests methods for developing systems with the organism that are practical for the average music technologist and also beneficial to the wider group of scientists investigating Physarum polycephalum for other purposes.Plymouth University HumPA Studentshi

Towards a Practitioner Model of Mobile Music

This practice-based research investigates the mobile paradigm in the context of electronic music, sound and performance; it considers the idea of mobile as a lens through which a new model of electronic music performance can be interrogated. This research explores mobile media devices as tools and modes of artistic expression in everyday contexts and situations. While many of the previous studies have tended to focus upon the design and construction of new hardware and software systems, this research puts performance practice at the centre of its analysis. This research builds a methodological and practical framework that draws upon theories of mobile-mediated aurality, rhetoric on the practice of walking, relational aesthetics, and urban and natural environments as sites for musical performance. The aim is to question the spaces commonly associated with electronic music – where it is situated, listened to and experienced. This thesis concentrates on the creative use of existing systems using generic mobile devices – smartphones, tablets and HD cameras – and commercially available apps. It will describe the development, implementation and evaluation of a self-contained performance system utilising digital signal processing apps and the interconnectivity of an inter-app routing system. This is an area of investigation that other research programmes have not addressed in any depth. This research’s enquiries will be held in dynamic and often unpredictable conditions, from navigating busy streets to the fold down shelf on the back of a train seat, as a solo performer or larger groups of players, working with musicians, nonmusicians and other participants. Along the way, it examines how ubiquitous mobile technology and its total access might promote inclusivity and creativity through the cultural adhesive of mobile media. This research aims to explore how being mobile has unrealised potential to change the methods and experiences of making electronic music, to generate a new kind of performer identity and as a consequence lead towards a practitioner model of mobile music

Proceedings of the 19th Sound and Music Computing Conference

Proceedings of the 19th Sound and Music Computing Conference - June 5-12, 2022 - Saint-Étienne (France). https://smc22.grame.f

The Affine Uncertainty Principle, Associated Frames and Applications in Signal Processing

Uncertainty relations play a prominent role in signal processing, stating that a signal can not be simultaneously concentrated in the two related domains of the corresponding phase space. In particular, a new uncertainty principle for the affine group, which is directly related to the wavelet transform has lead to a new minimizing waveform. In this thesis, a frame construction is proposed which leads to approximately tight frames based on this minimizing waveform. Frame properties such as the diagonality of the frame operator as well as lower and upper frame bounds are analyzed. Additionally, three applications of such frame constructions are introduced: inpainting of missing audio data, detection of neuronal spikes in extracellular recorded data and peak detection in MALDI imaging data