Based on intelligent voice recognition of forest illegal felling of detecting methods

Note that unlawful cutting of forest becomes more and more rampant at present, and there is no effective solution for real-time detection of such behavior. An approach based on audio recognition was proposed about unlawful cutting of forest. By the analysis of spectral characteristics of the sound s...

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Bibliographic Details
Main Authors: Yunjian Tang, Peng Han, Zaihuan Wang, Longcan Hu, Yue Gao, Haiyan Li
Format: Conference Proceeding
Language:English
Subjects:
Audio recognition
Characteristics analysis
Feature extraction
Hidden Markov models
Interference
Satellites
Signal to noise ratio
Similarity value
Speech recognition
Online Access:Request full text
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Summary:Note that unlawful cutting of forest becomes more and more rampant at present, and there is no effective solution for real-time detection of such behavior. An approach based on audio recognition was proposed about unlawful cutting of forest. By the analysis of spectral characteristics of the sound signal, and the calculations of similarity value and signal-to-noise ratio in the proposed approach, it can detect whether there is a chainsaw logging behavior. Experimental results show that the proposed method can eliminate interference sound effectively and identify the chainsaw logging sound accurately in real time.
ISSN:2376-5933
2376-595X
DOI:10.1109/CCIS.2012.6664564