标题：Insect Sound Recognition Based on Convolutional Neural Network
作者：Dong, Xue ;Yan, Ning ;Wei, Ying
作者机构：[Dong, Xue ;Yan, Ning ;Wei, Ying ] Shandong University, School of Information Science and Engineering, Jinan, China
会议名称：3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018
会议日期：27 June 2018 through 29 June 2018
来源：2018 3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018
关键词：Characteristic extraction; Contrast-limit adaptive histogram equalization; Deep learning; Enhanced spectrogram
摘要：A novel insect sound recognition system using enhanced spectrogram and convolutional neural network is proposed. Contrast-limit adaptive histogram equalization (CLAHE) is adopted to enhance R-space spectrogram. Traditionally, artificial feature extraction is an essential step of classification, introducing extra noise caused by subjectivity of individual researchers. In this paper, we construct a convolutional neural network (CNN) as classifier, extracting deep feature by machine learning. Mel-Frequency Cepstral Coefficient (MFCC) and chromatic spectrogram have been compared with enhanced R-space spectrogram as feature image. Eventually, 97.8723 % accuracy rate is achieved among 47 types of insect sound from USDA library. © 2018 IEEE.