Chosen Project


Setup of the Author

While presenting my Ideas and reasoning how and why I choose the order of interest in them, I could give a clear statement of intention that programming and electronics should be a vital part of the final product.

Supervision

From the Faculty of KUG Prof. Marco Ciciliani has chosen to work with me on my project. The Projekt – ‘Kidnapping the Sound of an Instrumentalist’ was my least favorite, but only because I would have done it outside of Uni anyway. His reasoning for choosing me was that he works with modular synthesis too.

Project

‘Kidnapping the Sound of an Instrumentalist’

The main focus should be that the forthcoming device should be very performable. This means that I have to find a working surface which for one is familiar to me and secondly gives me enough room to develop in multiple directions. The performance aspect means that the Instrumentalist has to be able to convey their expression to the device and I have to be able to pick it up and use it for further modulation of my setup. Below is a chain of thoughts which stood at the very beginning of the project which concludes in a module for a modular Synthesizer.

The Idea of developing a Musician Interface Module was well received by Prof. Ciciliani with the remark that for the technical side I have to be self-sufficient for the largest part.

1st Thoughts

EXPRESSION OF A MUSICIAN LIES VERY MUCH IN THE SONIC COLORATION OF THE SOUND – FFT ANALYSIS 

COULD WELL BE THE TOOL TO EXTRACT PARAMETERS FOR THE SONIC COLOR OF A SOUND – BREATH 

CONTROLLERS RECORD EXPRESSION PARAMETERS TOO – COULD GRANULAR SYNTHESIS BE A GOOD WAY TO

CAPTURE SONIC COLOR OF A SOUND – IS GRANULAR SYNTHESIS ONLY A EFFECT OR DOES IT MAKE THE

SOUND ITS OWN – HOW MANY PARAMETERS DOES EXPRESSION HAVE – IS THERE EVEN A NUMBER – ARE

THERE DIFFERENCES BETWEEN INSTRUMENTS – ARE THERE ANY SIMILARITIES – 

A MODULE: THE MUSICIAN INTERFACE

Input

For the Analysis of the instrument, Music Information Retrieval (MIR) was suggested. Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. MIR is a small but growing field of research with many real-world applications. Those involved in MIR may have a background in musicology, psychoacoustics, psychology, academic music study, signal processing, informatics, machine learning, optical music recognition, computational intelligence, or some combination of these.

Machine analysis and human hearing often correlate unexpectedly. High frequencies for example have a lower audible harmonic spectrum than Lower frequencies but are received vastly differently by the human ear in terms of expression or sonic coloration. So there are many Experiments to attempt to find the right algorithm and workflow to translate expression by the musician.

MIR is inherently digital so the module will probably be driven by some kind of DSP. So the question is if there is a programable DSP chip with the right periphery to build a module around? Like a DSP raspberry Pi. Bela board, Arduino, Daisy, Teensy,…


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