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A Typo-morphological Approach to Human–Machine Interaction Analysis in Music

Published online by Cambridge University Press:  24 November 2017

Eric Maestri
Eric Maestri*
Affiliation:
EA1572 Musidanse/CICM, Université Paris 8, 2 rue de la Liberté, 93526 Saint-Denis Cedex, France
*
Email: eric.maestri@gmail.com
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Abstract

This article proposes an analytical perspective on the aural analysis of human–machine interaction. Starting from Pierre Schaeffer’s musical thinking, it focuses on the perception of sound morphologies that generate from human–machine interaction. This interaction, usually interpreted under the perspective of the devices and technological innovation, will be interpreted through the perspective of musical perception and semantics. In the article, the author applies the criterion of ‘allure’, that permits the analysis of the sound object’s sustain and indicates the sound agent as mechanical, living or natural. ‘Allure’ is used as a theoretical framework for the analysis of human–computer interaction (HCI) in music. Inspired by a hypothetical perceptive Turing’s test, the author employs the ‘allure’ criterion as a conceptual tool for an aural analysis of human–machine interaction: aural analysis can indeed reveal the interaction of sound agents through the cognitive mechanism of motor imagery. This approach can be extended and developed in music information retrieval. The author will develop this reflection showing the actuality of Schaeffer’s perspective in HCI analysis. Finally, to highlight the interaction between human and electronic sound sources, the author will consider a case study: the first movement of Traiettoria for piano and electronics by Marco Stroppa.

Type
Articles
Information
Organised Sound , Volume 22 , Special Issue 3: Which Words Can We Use Related to Sound and Music? , December 2017 , pp. 315 - 323
Copyright
© Cambridge University Press 2017 

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