Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Tremblay P; Roma G, Green O. Pages: 9 - 23 Abstract: AbstractThis article presents a new software toolbox to enable programmatic mining of sound banks for musicking and musicking-driven research. The toolbox is available for three popular creative coding environments currently used by “techno-fluent” musicians. The article describes the design rationale and functionality of the toolbox and its ecosystem, then the development methodology—several versions of the toolbox have been seeded to early adopters who have, in turn, contributed to the design. Examples of these early usages are presented, and we describe some observed musical affordances of the proposed approach to the exploration and manipulation of music corpora, as well as the main roadblocks encountered. We finally reflect on a few emerging themes for the next steps in building a community around critical programmatic mining of sound banks. PubDate: Tue, 31 May 2022 00:00:00 GMT DOI: 10.1162/comj_a_00600 Issue No:Vol. 45, No. 2 (2022)
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Authors:Schlienger D; Khashchanskiy V. Pages: 24 - 47 Abstract: AbstractThe Acoustic Localization Positioning System is the outcome of several years of participatory development with musicians and artists having a stake in sonic arts, collaboratively aiming for nonobtrusive tracking and indoors positioning technology that facilitates spatial interaction and immersion. Based on previous work on application scenarios for spatial reproduction of moving sound sources and the conception of the kinaesthetic interface, a tracking system for spatially interactive sonic arts is presented here. It is an open-source implementation in the form of a stand-alone application and associated Max patches. The implementation uses off-the-shelf, ubiquitous technology. Based on the findings of tests and experiments conducted in extensive creative workshops, we show how the approach addresses several technical problems and overcomes some typical obstacles to immersion in spatially interactive applications in sonic arts. PubDate: Tue, 31 May 2022 00:00:00 GMT DOI: 10.1162/comj_a_00605 Issue No:Vol. 45, No. 2 (2022)
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Authors:Rojas EL; Cádiz RF. Pages: 48 - 66 Abstract: AbstractThis article presents an extension of Iannis Xenakis's Dynamic Stochastic Synthesis (DSS) called Diffusion Dynamic Stochastic Synthesis (DDSS). This extension solves a diffusion equation whose solutions can be used to map particle positions to amplitude values of several breakpoints in a waveform, following traditional concepts of DSS by directly shaping the waveform of a sound. One significant difference between DSS and DDSS is that the latter includes a drift in the Brownian trajectories that each breakpoint experiences through time. Diffusion Dynamic Stochastic Synthesis can also be used in other ways, such as to control the amplitude values of an oscillator bank using additive synthesis, shaping in this case the spectrum, not the waveform. This second modality goes against Xenakis's original desire to depart from classical Fourier synthesis. The results of spectral analyses of the DDSS waveform approach, implemented using the software environment Max, are discussed and compared with the results of a simplified version of DSS to which, despite the similarity in the overall form of the frequency spectrum, noticeable differences are found. In addition to the Max implementation of the basic DDSS algorithm, a MIDI-controlled synthesizer is also presented here. With DDSS we introduce a real physical process, in this case diffusion, into traditional stochastic synthesis. This sort of sonification can suggest models of sound synthesis that are more complex and grounded in physical concepts. PubDate: Tue, 31 May 2022 00:00:00 GMT DOI: 10.1162/comj_a_00606 Issue No:Vol. 45, No. 2 (2022)
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Authors:Lazzarini V; Timoney J. Pages: 67 - 83 Abstract: AbstractA common approach in the development of digital filters is to begin with an existing analog filter and produce an equivalent computer program to realize it. This may involve, at the extreme, the detailed analysis of circuit behavior, or it may stem from a higher-level approach that looks at block diagrams and s-domain transfer functions. In this article, we first take the latter approach to develop a set of linear filters from the well-known state variable filter. From this we obtain a first result, which is a linear digital implementation of the Steiner design, comprising separate inputs for different frequency responses and a single output summing the responses. Turning back to the state variable design, we show that to develop a nonlinear version, an analog circuit realization can be used to identify positions in which to insert nonlinear waveshapers. This gives us our second result, a nonlinear digital state variable filter. From this analog-derived design, we then propose modifications that go beyond the original filter, developing as a final result a structure that could be classed as a hybrid of filter and digital waveshaper. As part of this process, we ask the question of whether an approach that takes inspiration from the analog world, while being decoupled from it, may be more profitable in the long run than an obsession with detailed circuit modeling. PubDate: Tue, 31 May 2022 00:00:00 GMT DOI: 10.1162/comj_a_00599 Issue No:Vol. 45, No. 2 (2022)
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Authors:Lewis R. Pages: 84 - 85 Abstract: Celebrating Electronics: Music by John Bischoff (Concert) and John Bischoff: Bitplicity (Album) PubDate: Tue, 31 May 2022 00:00:00 GMT DOI: 10.1162/comj_r_00609 Issue No:Vol. 45, No. 2 (2022)
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Authors:Green BS. Pages: 85 - 88 Abstract: James Dashow: Archimedes—A Planetarium Opera PubDate: Tue, 31 May 2022 00:00:00 GMT DOI: 10.1162/comj_r_00608 Issue No:Vol. 45, No. 2 (2022)
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Authors:Pozzi D. Pages: 88 - 90 Abstract: Agostino Di Scipio and Dario Sanfilippo: Machine Milieu PubDate: Tue, 31 May 2022 00:00:00 GMT DOI: 10.1162/comj_r_00607 Issue No:Vol. 45, No. 2 (2022)
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