Classification Of Drosophila Wings Sound Based On Pattern Recognition Methods

Fruit flies are a kind of insects, which is larger harmful to fruits, and they will bring about huge economic losses to human. Through studying, a large number of scholars discover that fruit flies product sounds through their wings' vibrations in flight, and use them to transmit information and communicate among their species. The wings vibration sounds not only can reflect the species-specificity of fruit fly, but also can have advantage to fruit flies pests trapping and killing. Therefore, it has great biological importance and practical significance to research on fruit fly wings vibration sounds.Scholars discovered courtship song among wings vibration sounds of fruit flies, which has very significant role in fruit flies capture and training. But the related research, which is about the classification of strains and gender through their wings vibration sounds, is opposite less, not comprehensive. So, in the article, wings vibration sounds of fruit flies are used as research object, and pattern recognition methods are tried to implement the classification of strains and gender of fruit flies. According to the experiment, we discover that the article's method is feasible and effective to strains identification and gender classification of fruit flies and provides a new method for fruit flies classification research.The article's research mainly includes the following aspects:(1) Summarizing research situations on fruit flies in home and abroad and problems existing in current research.(2) Introducing the recognition principles and algorithms about Hidden Markov Model, and reviewing the current study status that Hidden Markov Model is used for animal sounds.(3) Achieving the recognition for wings vibration sounds of three different strains of fruit flies. Firstly, it is introduced that the basic principle of Mel-frequency Cepstrum Coefficients method and the combination method of Gaussian Mixture Model and Hidden Markov Model. Secondly, according to the experimental data in the paper, the optimal parameters are selected for Mel-frequency Cepstrum Coefficients method, the effective features combination of wings vibration sounds of different strains of fruit flies, which is made of the energy feature and first-order variance characteristics, is extracted. Finally, models are established for wings vibration sounds of each strain fruit flies using the combination model with Gaussian Mixture Model and Hidden Markov Model, the wings vibration sound of unknown strain fruit fly is identified according to the max probability value of observation produced, and the recognition results are calculated. Experimental results show that the article's method is effective to the recognition of different strains fruit flies, and the results are good.(4) Realizing the gender classification between female and male for wings vibration sounds of two strains of fruit flies. In the first, the theory of Auto-Regressive Model and Support Vector Machine are deeply studied. Then, combined with the experimental data, the appropriate parameters and algorithms of Auto-Regressive Model are selected, the orders are calculated by AIC criterion, the power spectrums of wings vibration sounds of female fruit flies and male fruit flies, which are the same strain, are estimated through Burg algorithm, the features combination, which can optimally reflect characteristics of wings vibration sounds of different gender fruit flies, includes the coefficients of Auto-Regressive Model and white noise sequence variance. Finally, the optimal parameters, which are suitable to the classifier of Support Vector Machine, are got by the ten fold cross-validation method, and using the heavy-tailed radial basis function as the kernel function of Support Vector Machine, the optimal classification interface is obtained through training sets, the testing set is classified, and the results are computed. Experimental results show that the article's method is feasible and effective for the classification between female and male in the same strain of fruit fly, and the results are good.