Recently, the approaches using artificial neural networks, which are based on the principles of the organization and functioning of biological nervous systems, have started to prevail among the methods of signal processing. The flexibility of adjusting the parameters of such algorithms in the course of their adaptation to the input data makes it possible to solve a variety of problems in spectral analysis, filtering, identification and classification of signals. In general, all the methods of using neural networks, one way or another, could be summarized to prediction, when the algorithm should react in a certain way to changes in the input signal adjusting to its statistical parameters. The indicator of this changes is the error signal, which is formed by comparing the input and output signals. During learning, the neural network refines the parameters of the algorithm in such way as to minimize the resulting error.
The interest of presented work relates to the use of error signals obtained in solving forecasting problems with a linear neural network for constructing a musical composition. As a sound programming environment, a hybrid system “computer-modular synthesizer” is used where such signals allow to control the sound synthesis parameters. To gain the artistic effect, the resulting electrical signal transformed into the mechanical vibrations of different resonators through the use of vibromotors. This approach enhances the element of unpredictability and inaccuracy during sound reproduction.
- error(msg); Sergey Kostyrko ADD TO CART 26:17
| Title | error(msg); |
| Artist | Sergey Kostyrko |
| Year of release | 2018 |
| Performers | Sergey Kostyrko |
| Instrumentation | modular synthesizer, vibromotors, cymbals and drums effects |
| Genre | experimental electronic music |
| Total playing time | 26:17 |
| Number of tracks | 1 |
| Recording dates | May 30, 2018 |
| Recording venues | 10th International Festival for Experimental Music “Prepared Wednesdays” |
| City, country | Moscow, Russia |
| Recording engineer, editing, mastering | Sergey Kostyrko |
| Booklet |
Sergey Kostyrko is a musician and sound artist located in St. Petersburg. His recent interests focus on the design of sound algorithms based on techniques of mathematical and physical modelling as well as on the development of interactive audio-visual systems grounded on generative algorithms and data sonification principles. He is a co-organizer of Fulldozer Festival (St. Petersburg, 2013, 2014), Spina!Fest (St. Petersburg, 2016, 2017) and series of club concerts Spina!Party (2013–2017) as well as a co-founder of Spina!Rec cassette label. As a musician, he works in the area of improvisational and noise music. During concerts and studio sessions, he combines digital and analog approaches to sound synthesis and signal processing employing modular synthesizer, microcontrollers, laptop, tablet and multi-channel sound systems. He collaborated with Rutger Zuydervelt, Jason Kahn, Daichi Yoshikawa, Dariusz Mazurowski, Gaudenz Badrutt, Gaute Granli, Ilia Belorukov, Kurt Liedwart, Konstantin Samolovov, Alexei Borisov, Alexandr Zaitsev, Andrey Popovskiy, Alexandr Markvart, Boris Shershenkov, and many others. The recordings with his participation were released by Mikroton Digital (Russia), Spina!Rec (Russia), Zeromoon (USA), Pilot Eleven (UK), Midnight Circles (Germany), A.M.P.-Recs (Mexico). He visited with concerts Finland, UK, Germany, Italy, Hungary, Sweden.
Recent performances and exhibitions include Present Perfect Festival (St. Petersburg, 2018), Protoart (St. Petersburg, 2018), Prepared Wednesdays (Moscow, 2018), Cyfest-11 (2018, St. Petersburg), Mediaspank (2017, St. Petersburg), The Well-Tempered Brain (Hamburg, 2017), Swiss Noise (Moscow, Yaroslavl, St. Petersburg, 2017), Brighter Days are Coming (St. Petersburg, 2017), What Thinking Sounds Like (Stockholm, 2017).
Kostyrko is an associate professor of St. Petersburg State University. He has a background in the development of analytical and computational methods for solving boundary value problems of the elasticity theory. His research area covers the different aspects of mechanics and thermodynamics of thin film materials. The results of his research are supported by numerous grants of Russian Foundation of Basic Research, Government of Saint-Petersburg, Saint-Petersburg State University and German Academic Exchange Service. List of his scientific publications numbers more than 60 items, including a number of articles in leading world’s journals in solid mechanics, such as International Journal of Solids and Structures and International Journal of Engineering Science. In 2018, he was elected as a member of Global Young Academy that aims to bring together young scientists from all over the world to solve global problems that require interdisciplinary expertise and to promote a scientific culture.
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