The Detection of an Approaching Sound Source Using Pulsed Neural Network

  • Authors:

  • Kaname Iwasa;Takeshi Fujisumi;Mauricio Kugler;Susumu Kuroyanagi;Akira Iwata;Mikio Danno;Masahiro Miyaji

  • Affiliations:

  • Nagoya Institute of Technology, Nagoya, Japan 466-8555;Nagoya Institute of Technology, Nagoya, Japan 466-8555;Nagoya Institute of Technology, Nagoya, Japan 466-8555;Nagoya Institute of Technology, Nagoya, Japan 466-8555;Nagoya Institute of Technology, Nagoya, Japan 466-8555;Toyota InfoTechnology Center, Co., Ltd, Tokyo, Japan 107-0052;Toyota Motor Corporation, Aichi, Japan 471-8572

  • Venue:
  • Neural Information Processing
  • Year:
  • 2007

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Abstract

Current automobiles' safety systems based on video cameras and movement sensors fail when objects are out of the line of sight. This paper proposes a system based on pulsed neural networks able to detect if a sound source is approaching a microphone or moving away from it. The system, based on PN models, compares the sound level difference between consecutive instants of time in order to determine its relative movement. Moreover, the combined level difference information of all frequency channels permits to identify the type of the sound source. Experimental results show that, for three different vehicles sounds, the relative movement and the sound source type could be successfully identified.