Acoustic Event Detection: SVM-Based System and Evaluation Setup in CLEAR'07

  • Authors:
  • Andrey Temko;Climent Nadeu;Joan-Isaac Biel

  • Affiliations:
  • TALP Research Center, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain 08034;TALP Research Center, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain 08034;TALP Research Center, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain 08034

  • Venue:
  • Multimodal Technologies for Perception of Humans
  • Year:
  • 2008

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Abstract

In this paper, the Acoustic Event Detection (AED) system developed at the UPC is described, and its results in the CLEAR evaluations carried out in March 2007 are reported. The system uses a set of features composed of frequency-filtered band energies and perceptual features, and it is based on SVM classifiers and multi-microphone decision fusion. Also, the current evaluation setup and, in particular, the two new metrics used in this evaluation are presented.