Audio surveillance using a bag of aural words classifier

@article{Carletti2013AudioSU,
  title={Audio surveillance using a bag of aural words classifier},
  author={Vincenzo Carletti and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
  journal={2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance},
  year={2013},
  pages={81-86}
}
In this paper we propose a novel approach for the audio-based detection of events. The approach adopts the bag of words paradigm, and has two main advantages over other techniques present in the literature: the ability to automatically adapt (through a learning phase) to both short, impulsive sounds and long, sustained ones, and the ability to work in noisy environments where the sounds of interest are superimposed to background sounds possibly having similar characteristics. The proposed… CONTINUE READING
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A large set of audio features for sound description (similarity and classification) in the CUIDADO project

  • G. Peeters
  • Tech. rep., IRCAM,
  • 2004
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