Corpus ID: 53875109

Improving Peak-picking Using Multiple Time-step Loss Functions

@inproceedings{Southall2018ImprovingPU,
  title={Improving Peak-picking Using Multiple Time-step Loss Functions},
  author={Carl Southall and Ryan Stables and Jason Hockman},
  booktitle={ISMIR},
  year={2018}
}
The majority of state-of-the-art methods for music infor-mation retrieval (MIR) tasks now utilise deep learningmethods reliant on minimisation of loss functions such ascross entropy. For tasks that include framewise binaryclassification (e.g., onset detection, music transcription)classes are derived from output activation functions byidentifying points of local maxima, or peaks. However, theoperating principles behind peak picking are different tothat of the cross entropy loss function, which… Expand
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