Predicting Timbre Features of Instrument Sound Combinations: Application to Automatic Orchestration

Autor:	Grégoire Carpentier, Damien Tardieu, Jonathan Harvey, Gérard Assayag, Emmanuel Saint-James
Rok vydání:	2010
Předmět:	Sound (medical instrument) Visual Arts and Performing Arts Computer science business.industry Speech recognition Machine learning computer.software_genre Field (computer science) Set (abstract data type) Feature (machine learning) Orchestration (computing) Artificial intelligence business computer Timbre Music
Zdroj:	Journal of New Music Research. 39:47-61
ISSN:	1744-5027 0929-8215
DOI:	10.1080/09298210903581566
Popis:	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 Orchidee, an innovative framework for computer-aided orchestration recently designed and developed at IRCAM, Paris.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3fdd10b3383590a58781e321f84eb534 https://doi.org/10.1080/09298210903581566 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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