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Performance of a contour-based classification method for whistles of Mediterranean delphinids

机译：基于轮廓的地中海翠鸟哨声分类方法的性能

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摘要

Whistles from five delphinid species in the western Mediterranean Sea (Stenella coeruleoalba. Grampus griseus, Delphinus delphis, Tursiops truncatus, Globicephala melas) were taken from GREC sound archives. FFT contours (window size 512, Hanning, sampling frequency 44.1 kHz) were extracted with custom developed Matlab software: 277 samples of striped dolphins (Sc), 158 whistles of Risso's dolphins (Gg), 120 of common dolphins (Dd), 76 of bottlenose dolphins (Tt), and 66 of pilot whales (Gm) were selected. Seafox software extracted 15 variables from the digitized contours, including: duration, initial, final, maximal and minimal frequency slopes, frequency range, number of frequency extrema, beginning, ending, maximal and minimal frequencies, presence of harmonics. Four of five species were significantly different (Mann-Whitney test) for average durations (respectively 0.73, 0.65, 0.47 and 0.89 s for Sc, Gg, Dd, Gm) while the average duration of bottlenose dolphins was 0.71 s. Frequency ranges (respectively 7.3, 6.3,4.6,3.2 and 6.3 kHz) were significantly different for all species pairs, with the exception of bottlenose and Risso's dolphins. From a global point of view, pilot whale calls were the most distinct, with 43 significant pair-wise tests out of a total of 52, followed by the common dolphins. Risso's dolphins were closest to other species whistles. A CART classification method achieved a global classification rate of 62.9%.
机译：来自GREC声音档案库的来自地中海西部五种燕尾类物种的哨子（Stenellacoeruleoalba。Grampusgriseus，Delphinus delphis，Tursiops truncatus，Globicephala melas）。使用定制开发的Matlab软件提取FFT等值线（窗口大小512，汉宁，采样频率44.1 kHz）：277条海豚样本（Sc），158里索海豚哨声（Gg），120普通海豚鸣声（Dd），76选择了宽吻海豚（Tt）和66条领航鲸（Gm）。 Seafox软件从数字化轮廓中提取了15个变量，包括：持续时间，初始，最终，最大和最小频率斜率，频率范围，频率极值的数量，开始，结束，最大和最小频率，谐波的存在。五个物种中的四个物种的平均持续时间（Sc，Gg，Dd，Gm的平均持续时间分别为0.73、0.65、0.47和0.89 s）（Mann-Whitney测试）显着不同，而宽吻海豚的平均持续时间为0.71 s。除宽吻和里索海豚外，所有物种对的频率范围（分别为7.3、6.3、4.6、3.2和6.3 kHz）都存在显着差异。从全球的角度来看，飞行员鲸鱼的叫声是最明显的，在总共52个中，有43个成对的成对测试，其次是普通的海豚。里索的海豚最接近其他物种的口哨。 CART分类方法的整体分类率为62.9％。

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