Deep Salience Representations for F0 Estimation in Polyphonic Music

@inproceedings{Bittner2017DeepSR,
  title={Deep Salience Representations for F0 Estimation in Polyphonic Music},
  author={Rachel M. Bittner and Brian McFee and Justin Salamon and Peter Li and Juan Pablo Bello},
  booktitle={ISMIR},
  year={2017}
}
Estimating fundamental frequencies in polyphonic music remains a notoriously difficult task in Music Information Retrieval. While other tasks, such as beat tracking and chord recognition have seen improvement with the application of deep learning models, little work has been done to apply deep learning methods to fundamental frequency related tasks including multi-f0 and melody tracking, primarily due to the scarce availability of labeled data. In this work, we describe a fully convolutional… CONTINUE READING
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Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching

  • Colin Raffel
  • PhD thesis, COLUMBIA UNI- VERSITY,
  • 2016
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