Winthertur (Suiza), 1977.
Graduated in Fine Arts at the Polytechnic University of Valencia, specializing in sculpture and new media. Experimental artist and programmer working in the fields of sound art, installations, interactive and generative systems, performance and radio-net-art.
Óscar Martín, also active under the pseudonym noish~, is an electronic sound artist who has been based in Barcelona for some time now. A strong advocate of the spirit of free software, he develops his own tools for sound synthesis and processing, with which he triggers sound bursts generated by algorithmic and chaotic processes. His works have been released on Free Software Series, Uzusounds, Drone Records and Tecnonucleo, among other labels, and have been presented live throughout Europe and Latin America. Martín is also behind the streaming platform MetaminaFNR and is editor of UrsonateFanzine, a publication dedicated to the Spanish experimental music and sound scene.
Óscar Martín a.k.a noish, Winterthur 1977
Artist, programmer and independent researcher. In his practice art, science and technology converge from an experimental and heterodox approach, and addresses the emergence and self-organization in complex systems with the collaboration of non-human agents. From the sound aspect, his pieces propose to encourage active listening and expand the perception through the physical-acoustic experience of the phenomenon of the emergence of structures and patterns in the limits of the chaotic and the ordered. His sound works have been released on Free Software Series, Nyapster, Drone Records and Tecnonucleo, among other labels, and have been presented live in Europe and Latin America. Martín is also behind the streaming platform MetaminaFNR and is co-editor of the aural culture and experimental music magazine UrsonateFanzine.
MMM#1 (Dual Markov Beat), 2021.
[Dual Markov Beat] analyzes and extracts the rhythmic information of different folk music from different geographies and temporalities such as Japan, Peru, Malaysia or Thailand among others. Then it synthesizes the rhythm of these musics, through predictive models, to produce new sequences that activate luminous structures of led tubes. These new rhythmic sequences are generated from the mathematical model of the Markov chains: a random system, proposed by the Russian Andrei Markov in 1907, in which a random variable changes over time in a predictable way. Because of this operation, these chains are used as algorithms for musical composition, but also in meteorological, economic and epidemiological predictions.