Computational Timbre Analysis
Computational Timbre Analysis is a systematic methodology within audio signal processing that employs computational models to extract, represent, and interpret the perceptual and acoustic characteristics of timbre in sound signals.
14
Publications
1.3K
Citations
29
Authors
15
Institutions
Publications per year
2017–2026
2
Parents
14
Timbre analysis of music audio signals with convolutional neural networks
Jordi Pons, Olga Slizovskaia, Emília Gómez et al. · 2017 · 119 citations · Full text
Computing, Musicology, Acoustics +16
Sonological models for timbre characterization*
Giovanni De Poli, Paolo Prandoni · Journal of New Music Research · 1997 · 73 citations · Full text
Humanities, Musicology, Acoustics +12
1–5 of 14
29
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National Academies of Sciences, Engineering, and Medicine, United States
1 publications · 17 citations
1
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1–5 of 29
15
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
20 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
1 publications
73 citations
Sciences et Technologies de la Musique et du Son
Paris, France
1 h-index
2 publications
90 citations

Institut de Recherche et Coordination Acoustique Musique
Paris, France
1 h-index
2 publications
90 citations
University of Kent
Canterbury, United Kingdom
1 h-index
2 publications
30 citations
Netherlands Institute for Sound and Vision
Hilversum, The Netherlands
1 h-index
2 publications
210 citations
Freie Universität Berlin
Berlin, Germany
1 h-index
1 publications
45 citations

University of Padua
Padua, Italy
1 h-index
1 publications
73 citations
1–8 of 15
3 publications · 57 citations
3
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JASA · 3 publications · 882 citations
3
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1 publications · 45 citations
1
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Repository · 1 publications · 15 citations
1
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1 publications · 31 citations
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