The Computer, Music, and Sound Models
Identifieur interne : 000603 ( Main/Exploration ); précédent : 000602; suivant : 000604The Computer, Music, and Sound Models
Auteurs : J.-C. Risset [France]Source :
- Inverse Problems and Theoretical Imaging [ 0938-5509 ] ; 1989.
Abstract
Abstract: It may seem surprising to find a presentation on the computer and music in a scientific meeting dedicated to new developments in the field of time-frequency methods. But music is both a demanding and a rewarding field: it has benefited from science and technology, but it has also stimulated several scientific and technical developments. In 1957, Max Mathews pioneered at Bell Laboratories digital recording and synthesis of sound: his primary interest was the development of novel musical instruments. The exploration of the virtually unlimited resources of synthesis and processing has involved research that has completely transformed our understanding of musical sound and how it is perceived. It is not surprising that the wavelet transform was first applied to sound signals in a computer music team, namely our “Equipe d’Informatique musicale”: to implement this application efficiently, Richard Kronland-Martinet took advantage of the SYTER audioprocessor, developed specially for music.
Url:
DOI: 10.1007/978-3-642-97177-8_6
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: It may seem surprising to find a presentation on the computer and music in a scientific meeting dedicated to new developments in the field of time-frequency methods. But music is both a demanding and a rewarding field: it has benefited from science and technology, but it has also stimulated several scientific and technical developments. In 1957, Max Mathews pioneered at Bell Laboratories digital recording and synthesis of sound: his primary interest was the development of novel musical instruments. The exploration of the virtually unlimited resources of synthesis and processing has involved research that has completely transformed our understanding of musical sound and how it is perceived. It is not surprising that the wavelet transform was first applied to sound signals in a computer music team, namely our “Equipe d’Informatique musicale”: to implement this application efficiently, Richard Kronland-Martinet took advantage of the SYTER audioprocessor, developed specially for music.</div>
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