Research Article Open Access

Audio Environment Recognition using Zero Crossing Features and MPEG-7 Descriptors

Saleh Al-Zhrani1 and Mubarak AlQahtani1
  • 1 ,
Journal of Computer Science
Volume 6 No. 11, 2010, 1283-1287


Submitted On: 8 August 2010 Published On: 23 October 2010

How to Cite: Al-Zhrani, S. & AlQahtani, M. (2010). Audio Environment Recognition using Zero Crossing Features and MPEG-7 Descriptors. Journal of Computer Science, 6(11), 1283-1287.


Problem statement: This study investigated zero crossing features and selected MPEG-7 audio descriptors for environment sound recognition applications such as audio forensics. Approach: The study implemented several experiments focusing on the problems of environment recognition from audio particularly for forensic applications. Results: It was investigated the effect of the temporal zero crossing feature as well as selected MPEG-7 audio low level descriptors on environment sound recognition. The performance was evaluated against a varying number of training sounds and samples per training file. Conclusion/Recommendations: Experimental results showed that higher recognition accuracy is achieved by increasing the number of training files and by decreasing the number of samples per training file. This study presented an audio environment recognition using zero crossing features and MPEG-7 Descriptors.

  • 1 Citations



  • Audio forensics
  • zero crossing
  • MPEG-7