TraSe algorithm : automatic evolutionary morphing of electronic dance music

The TraSe (Transform-Select) algorithm has been developed to investigate the morphing of electronic music through automatically applying a series of deterministic compositional transformations to the source, guided towards a target by similarity metrics. This is in contrast to other morphing techniques such as interpolation or parameters or probabilistic variation. TraSe allows control over stylistic elements of the music through user-defined weighting of numerous compositional transformations. The formal evaluation of TraSe was mostly qualitative and occurred through nine participants completing an online questionnaire. The music generated by TraSe was generally felt to be less coherent than a human composed benchmark but in some cases judged as more creative.

Note sequence morphing algorithms for performance of electronic dance music

This paper describes algorithms that can musically augment the realtime performance of electronic dance music by generating new musical material by morphing. Note sequence morphing involves the algorithmic generation of music that smoothly transitions between two existing musical segments. The potential of musical morphing in electronic dance music is outlined and previous research is summarised; including discussions of relevant music theoretic and algorithmic concepts. An outline and explanation is provided of a novel Markov morphing process that uses similarity measures to construct transition matrices. The paper reports on a ‘focus-concert’ study used to evaluate this morphing algorithm and to compare its output with performances from a professional DJ. Discussions of this trial include reflections on some of the aesthetic characteristics of note sequence morphing. The research suggests that the proposed morphing technique could be effectively used in some electronic dance music contexts.

Let's Dance: A Language for Service Behavior Modeling

In Service-Oriented Architectures (SOAs), software systems are decomposed into independent units, namely services, that interact with one another through message exchanges. To promote reuse and evolvability, these interactions are explicitly described right from the early phases of the development lifecycle. Up to now, emphasis has been placed on capturing structural aspects of service interactions. Gradually though, the description of behavioral dependencies between service interactions is gaining increasing attention as a means to push forward the SOA vision. This paper deals with the description of these behavioral dependencies during the analysis and design phases. The paper outlines a set of requirements that a language for modeling service interactions at this level should fulfill, and proposes a language whose design is driven by these requirements.

here/there/then/now

here/there/then/now was a practice-led research project that brought together 10 independent artists in dance, music, theatre and visual/media arts to create a site-specific program within the walls of the Brisbane Powerhouse. The purpose was to explore how to best conceive flexible performance platforms, theatricalise site-specific work and engage new audiences through forms of promenade experience that could provide open choices on how and where to view it. The sold out season of 6 performances, which took place 14-19 May 2002, presented three discrete performance installations set in intimate parts of the building, each with their own aesthetic and communicative intention, culminating in a fourth in-theatre installation, where memories of the first three coalesced and were reinterrogated. Each site thereby investigated meaning-making via the moving body and its critical relationship with space and objects, in a dramatic re-contextualisation of traditional solo dance forms, now re-articulated through interdisciplinary practices. The benefit of this approach was the creation of a layered and multimodal experience that could be both shared and subsequently critiqued by performers and audience alike.