Title: The admittance feature representation and impact sound feature extraction in the material identification of ribbed plates

Author(s): TIAN Xuhua; CHEN Ke'an; LI Han; YANG Lixue; LIU Yang;

Affiliation(s): Department of Environmental Engineering, School of Marine Science and Technology, Northwestern Polytechnical University

Abstract: The admittance features representing the physical attributes are used as the intermediates to extract the material-attributes-related impact sound features of ribbed plates. Firstly, the admittance feature representations of metal ribbed plates attributes are obtained and the relationship between the admittance features and the impact sound features are established via correlation analysis method. Then, material-attributes-related impact sound features are obtained indirectly. Finally, the performances of different sound features for the material recognition of ribbed-metal plates are verified through the Support Vector Machine classifier. The results indicate that the obtained four sets of features can effectively identify the materials of the metal ribbed plates, while the accuracy of a single feature depends on the separable degree of the corresponding material attribute. And the features extracted based on admittance functions have higher average accuracy than that of timbre features. Therefore, the proposed sound feature extraction method based on admittance features is valid, and the extracted sound features can effectively reflect the physical attributes.