Optimizing the length of an environmental audio fingerprint for place classification

  title={Optimizing the length of an environmental audio fingerprint for place classification},
  author={J. Ruben Delgado-Contreras and Juan-Pablo Garc{\'i}a-V{\'a}zquez and Ram{\'o}n F. Brena},
  journal={2016 International Conference on Electronics, Communications and Computers (CONIELECOMP)},
One of the many possible sources for identifying a place is environmental sound. Ambient sound can be used by itself or in combination with other methods, like GPS, WiFi, etc. A way of identifying a place with sound is using "fingerprinting", which tries to match features of sound in similar places with the one being registered. Nevertheless, one of the many parameters in this process relates to the length of the audio both for the patterns and for the current recording. Several authors use a… 

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