Title: A method for classifying whistles of bottlenose dolphin (tursiops truncates) based on syn-tactic pattern reorganization

Author(s): YANG Wuyi; SUN Xinzhe; ZHANG Yu; WEI Chong; YANG Yanming; NIU Fuqiang

Affiliation(s): Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Xiamen University; et al.

Abstract: A method based on syntactic pattern recognition was presented to automatically classify whistles of bottlenose dolphin. Dolphin whistles have typically been characterized in terms of their instantaneous frequency as a function of time, which is also known as ``whistle contour''. The frequency variation features of a whistle were extracted according to its contour. Then, the frequency variation features were used for learning grammatical patterns. A whistle was classified according to grammatical pattern of its frequency variation features. The experimental results showed that the classification accuracy of the proposed method was 95{\%}. The method can provide technical support for acoustic study of dolphins' biological behavior.