Designing Computationally Creative Musical Performance Systems

This is work in progress where we outline a design process for a computationally creative musical performance system using the Creative Systems Framework (CSF). The proposed system is intended to produce virtuosic interpretations, and subsequent synthesized renderings of these interpretations with a physical model of a bass guitar, using case-based reasoning and reflection. We introduce our interpretations of virtuosity and musical performance, outline the suitability of case-based reasoning in computationally creative systems and introduce notions of computational creativity and the CSF. We design our system by formalising the components of the CSF and briefly outline a potential implementation. In doing so, we demonstrate how the CSF can be used as a tool to aid in designing computationally creative musical performance systems

Virtuosity in Computationally Creative Musical Performance for Bass Guitar

This thesis focuses on the development and implementation of a theory for a computationally creative musical performance system aimed at producing virtuosic interpretations of musical pieces for performance on bass guitar. This theory has been developed and formalised using Wiggins’ Creative Systems Framework (CSF) and uses case-base reasoning (CBR) and an engagement-reflection cycle to adorn monophonic musical note sequences with explicit performance directions, selected to maximise the virtuosity when performed using a bass guitar. A survey of 497 bass players’ playing competences was conducted and used to develop a playing complexity rating for adorned musical pieces. Measures of musical similarity used within the case-base reasoning were assessed by a listening test of 12 participants. A study into the perceived difficulty of bass performances was also conducted and an appropriate model of perceived bass playing difficulty determined. The complexity rating and perceived playing difficulties are utilised within the heuristic used by the system to determine what performances are considered to be virtuosic. The output of the system was rendered on a digital waveguide model of an electric bass, that was updated with newly developed digital waveguide synthesis methods for advanced bass guitar playing techniques. These audio renderings were evaluated with a perceptual study of 60 participants, the results of which were used to validate the heuristic used within the system. This research makes contribution to the fields of Computational Creativity (CC), AI Music Creativity, Music Information Retrieval and Musicology. It demonstrates how the CSF can be used as a tool to aid in designing computationally creative musical performance systems, provides a method to assess musical complexity and perceived difficulty of bass guitar performances, tested a suitable musical similarity measure for use within creative systems, and made advances in bass guitar digital waveguide synthesis methods