The Detection of an Approaching Sound Source Using Pulsed Neural Network

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 the sensor 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.

• Type: Conference
• Year: 2007
• Where: ICONIP
• Authors: Kaname Iwasa, Takeshi Fujisumi, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata, Mikio Danno, Masahiro Miyaji
• Keywords: ICONIP 2007, Information Technology, Level Difference, Relative Movement, Sound Source