A new method for musical onset detection in polyphonic piano music

  • Authors:
  • Giovanni Costantini;Massimiliano Todisco;Giovanni Saggio

  • Affiliations:
  • Department of Electronic Engineering, University of Rome "Tor Vergata", Italy and Institute of Acoustics "O. M. Corbino", Roma, Italy;Department of Electronic Engineering, University of Rome "Tor Vergata", Italy;Department of Electronic Engineering, University of Rome "Tor Vergata", Italy

  • Venue:
  • ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
  • Year:
  • 2010

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Abstract

In this paper, we propose a musical onset detection method, with reference to polyphonic piano music. The solution proposed consists of an onset detection algorithm based on Short-Time Fourier Transform (STFT) and Non-Negative Matrix Factorization (NMF). This method operates on a frame-by-frame basis and exploits a suitable binary time-frequency representation of the audio signal. To validate this method, we present a collection of experiments using a wide number of musical piano pieces of heterogeneous styles.