2026-09-20T02:17:50Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/578052022-01-13T07:55:03Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Tod Machover.
Cavatorta, Andrew Albert
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2010-08-31T14:52:21Z
2010-08-31T14:52:21Z
2010
2010
http://hdl.handle.net/1721.1/57805
656274057
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 81-83).
The last 130 years of musical invention are punctuated with fascinating musical instruments that use the electromechanical actuation to turn various natural phenomena into sound and music. But this history is very sparse compared to analog and PC-based digital synthesis. The development of these electromechanical musical instruments presents a daunting array of technical challenges. Musical pioneers wishing to develop new electromechanical instruments often spend most of their finite time and resources solving the same set of problems over and over. This difficulty inhibits the development of new electromechanical instruments and often detracts from the quality of those that are completed. As a solution to this problem, I propose Nervebox - a platform of code and basic hardware that encapsulates generalized solutions to problems encountered repeatedly during the development of electromechanical instruments. Upon its official release, I hope for Nervebox to help start a small revolution in electromechanical music, much like MAX/MSP and others have done for PC-based synthesis, and like the abstraction of basic concepts like oscillators and filters has done for analog electronic synthesis. Anyone building new electromechanical instruments can start with much of their low-level work already done. This will enable them to focus more on composition and the instruments' various aesthetic dimensions. The system is written in Python, JavaScript and Verilog. It is free, generalized, and easily extensible.
by Andrew Albert Cavatorta.
S.M.
83 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Architecture. Program in Media Arts and Sciences.
Nervebox : a control system for machines that make music
Nervebox : the first general platform for electromechanical musical instruments
Control system for machines that make music
First general platform for electromechanical musical instruments
Thesis
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<Abstract>The last 130 years of musical invention are punctuated with fascinating musical instruments that use the electromechanical actuation to turn various natural phenomena into sound and music. But this history is very sparse compared to analog and PC-based digital synthesis. The development of these electromechanical musical instruments presents a daunting array of technical challenges. Musical pioneers wishing to develop new electromechanical instruments often spend most of their finite time and resources solving the same set of problems over and over. This difficulty inhibits the development of new electromechanical instruments and often detracts from the quality of those that are completed. As a solution to this problem, I propose Nervebox - a platform of code and basic hardware that encapsulates generalized solutions to problems encountered repeatedly during the development of electromechanical instruments. Upon its official release, I hope for Nervebox to help start a small revolution in electromechanical music, much like MAX/MSP and others have done for PC-based synthesis, and like the abstraction of basic concepts like oscillators and filters has done for analog electronic synthesis. Anyone building new electromechanical instruments can start with much of their low-level work already done. This will enable them to focus more on composition and the instruments' various aesthetic dimensions. The system is written in Python, JavaScript and Verilog. It is free, generalized, and easily extensible.</Abstract>
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