Corpus ID: 67926553

An Investigation into the Use of Artificial Intelligence Techniques for the Analysis and Control of Instrumental Timbre and Timbral Combinations

  title={An Investigation into the Use of Artificial Intelligence Techniques for the Analysis and Control of Instrumental Timbre and Timbral Combinations},
  author={Aur{\'e}lien Antoine},
Researchers have investigated harnessing computers as a tool to aid in the composition of music for over 70 years. In major part, such research has focused on creating algorithms to work with pitches and rhythm, which has resulted in a selection of sophisticated systems. Although the musical possibilities of these systems are vast, they are not directly considering another important characteristic of sound. Timbre can be defined as all the sound attributes, except pitch, loudness and duration… Expand


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  • S. McAdams
  • Computer Science
  • Computer Music Journal
  • 1999
An overview of some (but not all) of the work on timbre performed by the Music Perception and Cognition team at IRCAM is presented, and the role of timbre in the creation and perceptual organization of musical materials is addressed. Expand
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  • A. Eronen
  • Engineering
  • Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575)
  • 2001
Several features were compared with regard to recognition performance in a musical instrument recognition system. Both mel-frequency and linear prediction cepstral and delta cepstral coefficientsExpand