Data-Driven Sound Design is a computational approach to sound creation and manipulation that systematically derives sonic parameters and behaviors from empirical data sources, such as sensor inputs, user interactions, or environmental recordings, through algorithmic processing and statistical modeling.
4
Publications
171
Citations
12
Authors
3
Institutions
Publications per year
2017–2026
1
Parents
Publications
4
A NEW PARADIGM FOR SOUND DESIGN
Ananya Misra, Perry R. Cook, Ge Wang · 2006 · 23 citations
Humanities, Design, Acoustic Design +14
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Authors
12
- UH
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- GW
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- AM
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- TT
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- RP
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1–5 of 12
Institutions
3
Simon Fraser University
Burnaby, Canada
1 h-index
2 publications
36 citations
University of Washington
Seattle, United States
1 h-index
2 publications
204 citations
Princeton University
Princeton, United States
1 h-index
3 publications
69 citations
Stockholm Environment Institute
Oxford, United Kingdom
1 publications
12 citations
PATH To Reading
Encinitas, United States
1 publications
12 citations
Institut de Recherche et Coordination Acoustique Musique
Paris, France
1 publications
12 citations
University of York
York, United Kingdom
1 publications
12 citations
1–7 of 3
Venues
- Journal of the Audio Engineering Society
AES · 1 publications · 28 citations
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- International Journal of Human-Computer Studies
1 publications · 12 citations
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