Corpus ID: 55394881

Features for instrument recognition in polyphonic mixes by Santor Warmerdam

@inproceedings{Warmerdam2017FeaturesFI,
  title={Features for instrument recognition in polyphonic mixes by Santor Warmerdam},
  author={S. Warmerdam},
  year={2017}
}
Automated instrument recognition is necessary to efficiently obtain instrumentation information for the existing large collections of digital music. While automated instrument recognition is possible with very high accuracy for monophonic fragments, the problem has not yet been solved for polyphonic mixes. In this work a system is designed for instrument recognition. This system is based on the popular melfrequency cepstral coefficients(MFCC) features and a Gaussian mixture model(GMM… Expand

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