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

摘要

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.