Tu Hsiao-Wei, Smith Edward W, Dooling Robert J
Department of Psychology and Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA.
J Comp Psychol. 2011 Nov;125(4):420-30. doi: 10.1037/a0024396.
The warble songs of budgerigars (Melopsittacus undulatus) are composed of a number of complex, variable acoustic elements that are sung by male birds in intimate courtship contexts for periods lasting up to several minutes. If these variable acoustic elements can be assigned to distinct acoustic-perceptual categories, it provides the opportunity to explore whether birds are perceptually sensitive to the proportion or sequential combination of warble elements belonging to different categories. By the inspection of spectrograms and by listening to recordings, humans assigned the acoustic elements in budgerigar warble from several birds to eight broad, overlapping categories. A neural-network program was developed and trained on these warble elements to simulate human categorization. The classification reliability between human raters and between human raters and the neural network classifier was better than 80% both within and across birds. Using operant conditioning and a psychophysical task, budgerigars were tested on large sets of these elements from different acoustic categories and different individuals. The birds consistently showed high discriminability for pairs of warble elements drawn from between acoustic categories and low discriminability for pairs drawn from within acoustic categories. With warble elements reliably assigned to different acoustic categories by humans and birds, it affords the opportunity to ask questions about the ordering of elements in natural warble streams and the perceptual significance of this ordering.
虎皮鹦鹉(Melopsittacus undulatus)的颤声歌曲由许多复杂、多变的声学元素组成,雄性鸟在亲密求偶情境中演唱这些元素,时长可达几分钟。如果这些可变的声学元素能够被归入不同的声学感知类别,那么就有机会探索鸟类是否在感知上对属于不同类别的颤声元素的比例或顺序组合敏感。通过检查频谱图并聆听录音,人类将几只虎皮鹦鹉颤声中的声学元素归入了八个宽泛且相互重叠的类别。开发了一个神经网络程序,并使用这些颤声元素对其进行训练,以模拟人类的分类。人类评分者之间以及人类评分者与神经网络分类器之间的分类可靠性在鸟类内部和不同鸟类之间均优于80%。使用操作性条件反射和一项心理物理学任务,对虎皮鹦鹉进行了测试,测试内容是来自不同声学类别和不同个体的大量此类元素。这些鸟始终对从不同声学类别中抽取的颤声元素对表现出高辨别力,而对从同一声学类别中抽取的元素对表现出低辨别力。由于人类和鸟类都能将颤声元素可靠地归入不同的声学类别,这就为探讨自然颤声流中元素的排序以及这种排序的感知意义提供了机会。