Corpus ID: 207794915

Estimating Unobserved Audio Features for Target-Based Orchestration

@inproceedings{Gillick2019EstimatingUA,
  title={Estimating Unobserved Audio Features for Target-Based Orchestration},
  author={Jon Gillick and Carmine-Emanuele Cella and David Bamman},
  booktitle={ISMIR},
  year={2019}
}
Target-based assisted orchestration can be thought of as the process of searching for optimal combinations of sounds to match a target sound, given a database of samples, a similarity metric, and a set of constraints. A typical solution to this problem is a proposed orchestral score where candidates are ranked by similarity in some feature space between the target sound and the mixture of audio samples in the database corresponding to the notes in the score; in the orchestral setting, valid… Expand
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