Sample Orchestrator: Content-based management of audio samples

Hugues Vinet; Gérard Assayag; Juan José Burred; Grégoire Carpentier; Nicolas Misdariis; Geoffroy Peeters; Axel Roebel; Norbert Schnell; Diemo Schwarz; Damien Tardieu

doi:10.3166/TS.28.417-468

Sample Orchestrator: Content-based management of audio samples

Hugues Vinet, Gérard Assayag, Juan José Burred, Grégoire Carpentier, Nicolas Misdariis, Geoffroy Peeters, Axel Roebel, Norbert Schnell, Diemo Schwarz, Damien Tardieu

STMS IRCAM-CNRS-UPMC

Research output: Contribution to journal › Article › peer-review

Abstract

The main advances of the R&D Sample Orchestrator project are presented, aiming at the development of innovative functions for the manipulation of sound samples. These features rely on studies on sound description, i.e. the formalization of relevant data structures for characterizing the sounds' content and organization. This work was applied to automatic sound indexing and to the development of new applications for musical creation - interactive corpus-based synthesis and computer-aided orchestration. The project also included an important part on high-quality sound processing, through several enhancements of the phase vocoder model - processing by sinusoidal model in the spectral domain and automatic computation of the analysis parameters.

Translated title of the contribution	Sample Orchestrator: Gestion par le contenu d'échantillons sonores
Original language	English
Pages (from-to)	417-468
Number of pages	52
Journal	Traitement du Signal
Volume	28
Issue number	3-4
DOIs	https://doi.org/10.3166/TS.28.417-468
Publication status	Published - 1 Dec 2011
Externally published	Yes

Keywords

Auditory cognition
Concatenative synthesis
Corpus-based synthesis
Machine learning
Orchestration
Phase vocoder
Short-term Fourier transform
Signal models
Sound
Sound indexing
Sound samples
Sound synthesis and processing

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10.3166/TS.28.417-468

Cite this

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title = "Sample Orchestrator: Content-based management of audio samples",

abstract = "The main advances of the R\&D Sample Orchestrator project are presented, aiming at the development of innovative functions for the manipulation of sound samples. These features rely on studies on sound description, i.e. the formalization of relevant data structures for characterizing the sounds' content and organization. This work was applied to automatic sound indexing and to the development of new applications for musical creation - interactive corpus-based synthesis and computer-aided orchestration. The project also included an important part on high-quality sound processing, through several enhancements of the phase vocoder model - processing by sinusoidal model in the spectral domain and automatic computation of the analysis parameters.",

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T2 - Content-based management of audio samples

AU - Vinet, Hugues

AU - Assayag, Gérard

AU - Burred, Juan José

AU - Carpentier, Grégoire

AU - Misdariis, Nicolas

AU - Peeters, Geoffroy

AU - Roebel, Axel

AU - Schnell, Norbert

AU - Schwarz, Diemo

AU - Tardieu, Damien

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KW - Auditory cognition

KW - Concatenative synthesis

KW - Corpus-based synthesis

KW - Machine learning

KW - Orchestration

KW - Phase vocoder

KW - Short-term Fourier transform

KW - Signal models

KW - Sound

KW - Sound indexing

KW - Sound samples

KW - Sound synthesis and processing

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JO - Traitement du Signal

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ER -

Sample Orchestrator: Content-based management of audio samples

Abstract

Keywords

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