On Computer-Assisted Orchestration

@article{Maresz2013OnCO,
  title={On Computer-Assisted Orchestration},
  author={Yan Maresz},
  journal={Contemporary Music Review},
  year={2013},
  volume={32},
  pages={109 - 99}
}
  • Yan Maresz
  • Published 1 February 2013
  • Computer Science
  • Contemporary Music Review
In 2003, I presented to Ircam a proposal for a long-term research project on the subject of computer-assisted orchestration. [] Key Method The orchestration procedure uses large pre-analysed instrumental sound databases to offer composers a set of sound combinations. This procedure relies on a set of features that describe different aspects of the sound. Almost 10 years after the start of this project, it is time to look back at what was accomplished from the musical stand point, and to open some new…
View on Taylor & Francis
articles.ircam.fr
18 Citations
Highly Influential Citations
4
Background Citations
7
Methods Citations
5

18 Citations

Source Separation Methods for Computer-assisted Orchestration

The experiments show that source separation improves the quality of orchestrations, and the more accurate the separation, the better the resulting orchestration.

The Arranger: Creating a tool for real-time orchestration and notation on mobile devices

The results indicate that it is possible to create a tool that orchestrates and notates input in realtime on mobile devices and to facilitate the use of real-time notation in improvisatory situations.

Towards Intelligent Orchestration Systems

A survey of the field of computer-assisted orchestration, which covers different orchestration systems that were initiated by the spectral music movement and developed during the last 40 years in order to establish the current state-of-the-art.

Neural Models for Target-Based Computer-Assisted Musical Orchestration: A Preliminary Study

This paper will perform a preliminary exploration on how neural networks can be used for the task of target-based computer-assisted musical orchestration, and propose two deep learning models for this problem.

OrchideaSOL: a dataset of extended instrumental techniques for computer-aided orchestration

OrchideaSOL is a reduced and modified subset of Studio On Line, or SOL for short, a dataset developed at Ircam between 1996 and 1998 and designed to be used as default dataset for the OrchideA framework for target-based computer-aided orchestration.

Extended playing techniques: the next milestone in musical instrument recognition

This work identifies and discusses three necessary conditions for significantly outperforming the traditional mel-frequency cepstral coefficient (MFCC) baseline: the addition of second-order scattering coefficients to account for amplitude modulation, the incorporation of long-range temporal dependencies, and metric learning using large-margin nearest neighbors (LMNN) to reduce intra-class variability.

Leveraging diversity in computer-aided musical orchestration with an artificial immune system for multi-modal optimization

Learning, Probability and Logic: Toward a Unified Approach for Content-Based Music Information Retrieval

This perspective paper critically looks at the problem of automatic chord estimation from audio recordings as a case study of content-based algorithms, and advocates that the identified hurdles of current approaches could be overcome by recent developments in the area of Statistical Relational Artificial Intelligence (StarAI) that unifies probability, logic and (deep) learning.

La prise de l’IRCAM? Spanish Composers Facing New Technologies

Since opening in 1977, IRCAM has been a prominent meeting point for international composers. Nevertheless, the Spanish presence at the French institution was rather rare during the twentieth century;…

Imitative Computer-Aided Musical Orchestration with Biologically Inspired Algorithms

Computer-aided musical orchestration (CAMO) systems aim to assist the composer in several steps of the orchestration procedure, particularly, imitative CAMO focuses on instrumentation by aiding the musician in creating timbral mixtures as instrument combinations.

References

SHOWING 1-10 OF 10 REFERENCES

Computer-Aided Orchestration Based on Probabilistic Instruments Models and Genetic Exploration

A machine learning method based on generative probabilistic modeling to represent and generalize instrument timbre possibilities from sample databases and deduce the timbre of any mixture of instrument sounds is proposed.

Multiobjective Time Series Matching for Audio Classification and Retrieval

  • P. EslingC. Agón
  • Computer Science
    IEEE Transactions on Audio, Speech, and Language Processing
  • 2013
An innovative way of querying generic audio databases by simultaneously optimizing the temporal evolution of multiple spectral properties by introducing a multidimensional assessment of similarity in audio matching is addressed.

A provisional history of spectral music

The current musical scene is replete with a mass of currents and countercurrents. The certainty of historical pu rpose which infused the earliest seminars and publications of the Darmstadt group is…

Contemporary Music Review

This article examines a number of recent Internet- and network-based audio pieces with a focus on their compositional underpinnings, and the effect of the Internet and networks on the creative…

Perception of Dyads of Impulsive and Sustained Instrument Sounds

perception of instrumental blend is important for understanding aspects of orchestration, but no work has studied blends of impulsive and sustained instruments. The first experiment identified the…

Traité de l'orchestration

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Documents about the work Traité de l'orchestration (1954) / Charles Koechlin (1867-1950) . . . . . . . . . . . . . .…

2008).Modèles d’instrumentspour l’aide à l’orchestration. Paris: IRCAM and University of Pierre & Marie Curie (UPMC)

  • 2008

Pour un traité d ’ orchestration au XXIe siècle , in L ’ Étincelle : Le journal de la creation à l ’ Ircam

    Approche computationnelle de l'orchestration musicale: Optimisation multicritère sous contraintes de combinaisons instrumentales dans de grandes banques de sons (Unpublished doctoral dissertation

    • 2008

    Downloaded by [Ircam] at 09:35 29

    • Downloaded by [Ircam] at 09:35 29
    • 2013