Predicting Timbre Features of Instrument Sound Combinations
Application to Automatic Orchestration
Bibliographic Data
| ID | 14872152 |
|---|---|
| Authors | Grégoire Carpentier (Institut de Recherche et Coordination Acoustique Musique, corresponding author), Damien Tardieu (Institut de Recherche et Coordination Acoustique Musique), Jonathan Harvey (0000-0001-9102-3117, University of Sussex), Gérard Assayag (0000-0002-4427-7373, Institut de Recherche et Coordination Acoustique Musique), Emmanuel Saint-James (LIP6) |
| Year | 2010 |
| Volume | 39 |
| Issue | 1 |
| Pages | 47-61 |
| Publication date | 2010-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of New Music Research (JOURNAL) |
| Journal identifiers | ISSN: 0929-8215 • E-ISSN: 1744-5027 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/09298210903581566 |
| OpenAlex | W2124576126 |
| Language | EN |
| References cited | 17 |
In this paper we first introduce a set of functions to predict the timbre features of an instrument sound combination, given the features of the individual components in the mixture. We then compare, for different classes of sound combinations, the estimated values of the timbre features to real measurements and show the accuracy of our predictors. In the second part of the paper, we present original musical applications of feature prediction in the field of computer-aided orchestration. These examples all come from real-life compositional situations, and were all produced with Orchidée, an innovative framework for computer-aided orchestration recently designed and developed at IRCAM, Paris
Acoustics · Human–computer interaction · Musical · Musical instrument · Orchestration · Programming language · Speech recognition · Timbre · Computer Science · Mathematics · Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception · Artificial Intelligence
| Highly cited | No |
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