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FFT Based Automatic Species Identification Improvement with 4-layer Neural Network

机译:基于FFT基于4层神经网络的自动化物种识别改进

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In this paper, an automatic species identification system has been developed. Recoded data was segmented, processed, features taken out, and identified by an automatic operation. A feature quantity method based on FFT with dervative of frequency band power making use of 4-layer neural network is proposed. Comparison of the results with the 4-layer neural network has been performed on wild bird species identification based on sound data which has proved promising.
机译:在本文中,已经开发了一种自动种类识别系统。被划分,处理的数据被分段,处理,并通过自动操作识别。提出了一种基于FFT的FFT利用频带功率的使用,采用4层神经网络的使用。基于已经证明有前途的声音数据对野生鸟类识别进行了对4层神经网络的结果的比较。

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