Audio onset detection: A wavelet packet based approach with recurrent neural networks

@article{Marchi2014AudioOD,
  title={Audio onset detection: A wavelet packet based approach with recurrent neural networks},
  author={Erik Marchi and Giacomo Ferroni and Florian Eyben and Stefano Squartini and Bj{\"o}rn W. Schuller},
  journal={2014 International Joint Conference on Neural Networks (IJCNN)},
  year={2014},
  pages={3585-3591}
}
This paper concerns the exploitation of multi-resolution time-frequency features via Wavelet Packet Transform to improve audio onset detection. In our approach, Wavelet Packet Energy Coefficients (WPEC) and Auditory Spectral Features (ASF) are processed by Bidirectional Long Short-Term Memory (BLSTM) recurrent neural network that yields the onsets location. The combination of the two feature sets, together with the BLSTM based detector, form an advanced energy-based approach that takes… CONTINUE READING

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