Fournet Michelle E, Szabo Andy, Mellinger David K
College of Earth Ocean and Atmospheric Sciences, Oregon State University, 104 CEOAS Administration Building, Corvallis, Oregon 97333.
Alaska Whale Foundation, P.O. Box 1927, Petersburg, Alaska 99833.
J Acoust Soc Am. 2015 Jan;137(1):1-10. doi: 10.1121/1.4904504.
On low-latitude breeding grounds, humpback whales produce complex and highly stereotyped songs as well as a range of non-song sounds associated with breeding behaviors. While on their Southeast Alaskan foraging grounds, humpback whales produce a range of previously unclassified non-song vocalizations. This study investigates the vocal repertoire of Southeast Alaskan humpback whales from a sample of 299 non-song vocalizations collected over a 3-month period on foraging grounds in Frederick Sound, Southeast Alaska. Three classification systems were used, including aural spectrogram analysis, statistical cluster analysis, and discriminant function analysis, to describe and classify vocalizations. A hierarchical acoustic structure was identified; vocalizations were classified into 16 individual call types nested within four vocal classes. The combined classification method shows promise for identifying variability in call stereotypy between vocal groupings and is recommended for future classification of broad vocal repertoires.
在低纬度繁殖地，座头鲸会发出复杂且高度刻板的歌声，以及一系列与繁殖行为相关的非歌声。而在阿拉斯加东南部的觅食地，座头鲸会发出一系列此前未分类的非歌声发声。本研究从在阿拉斯加东南部弗雷德里克海峡觅食地三个月期间收集的299种非歌声发声样本中，调查阿拉斯加东南部座头鲸的发声库。使用了三种分类系统，包括听觉频谱图分析、统计聚类分析和判别函数分析，来描述和分类发声。识别出了一种分层声学结构；发声被分为嵌套在四个发声类别的16种个体叫声类型。这种组合分类方法有望识别发声分组之间叫声刻板性的变异性，建议用于未来对广泛发声库的分类。
