Université de Toulon, l'Université d'Aix-Marseille, Centre National de la Recherche Scientifique, Laboratoire d'Informatique et Systèmes, DYNamique de l'Information Team, Campus de La garde, 83130, France.
Université de Picardie Jules Verne, Centre National de la Recherche Scientifique, Laboratoire Amiénois de Mathématique Fondamentale et Appliquée, Chem Thil, 80025 Amiens Cedex 1, France.
J Acoust Soc Am. 2019 Oct;146(4):2145. doi: 10.1121/1.5126710.
Pulsed sounds are an interesting example of complex biological sounds, frequent in cetaceans' vocalizations. A two-group classification of these sounds is proposed: tonal or non-tonal. Through two simple mathematical models, it is shown that this classification can lead to better techniques for measuring the pulse rate. This classification is thus useful for improving measurement accuracy, but can also help in formulating hypotheses regarding mechanisms of sound production. This method of classification is applied to south Pacific blue whale vocalizations and it is found that the pulse rate corresponds to the fundamental frequency (not expressed in the spectrum) of the song. Thus, the hypothesis that the sound is produced by only one organ and then filtered by the body of the giant is reinforced.
脉冲声是复杂生物声音的一个有趣例子，在鲸类动物的发声中很常见。本文提出了对这些声音的两种分组分类：有调的或无调的。通过两个简单的数学模型，表明这种分类可以导致更好的测量脉冲率的技术。因此，这种分类对于提高测量精度是有用的，但也有助于提出关于发声机制的假设。这种分类方法应用于南太平洋蓝鲸的发声，发现脉冲率与歌声的基频（未在频谱中表示）相对应。因此，声音仅由一个器官产生，然后被巨大的身体过滤的假设得到了加强。
