Department of Information Technology, Indian Institute of Information Technology, Allahabad, India
Research Article
Acoustic Signal Classification for Deforestation Monitoring: Tree Cutting
Problem
Author(s): Sharma G*
This paper deals with tree cutting real-world problem, causing significant damages to forests. The sensing and
classification of acoustic signal emitted during tree cutting, is used to extract information of tree cutting events
using sensors. Detecting the acoustic signal due to saw scratching power level in presence of ambiance noise and
the other choral noise sources is a major issue in a forest environment. An acoustic sensor experimental setup is
established for capturing the acoustic signal generated due to cross cut sawing with varying distances. Based on
the experimental analysis, saw scratching acoustic signal is found with appropriate for tree cutting detection. The
acoustic signal pre-processing is performed with the help of a SNR algorithm. The extraction of features in frequency
space is done by using modified MFCC and spectral features extracti.. Read More»
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