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Formant Frequencies are Acoustic Cues to Caller Discrimination and are a Weak Indicator of the Body Size of Corncrake Males

机译:共振峰频率是呼叫者歧视的声音提示,并且是玉米cra雄鱼体型的较弱指标

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Source-filter theory assumes that calls are generated by a vocal source and are subsequently filtered by the vocal tract. The air in the vocal tract vibrates preferentially at certain resonant frequencies, called formants. Formant frequencies can be a good indicator of the caller's characteristics, such as sex, age, body size or individual identity. Although source-filter theory was originally proposed for mammals, formants are also observed in birds, and some bird species have been shown to perceive formants. In this study, we evaluated the hypotheses that formant frequencies (1) are an indicator of body size and (2) can be used for individual discrimination by a nocturnal bird species, the corncrake (Crex crex). We analysed calls of 104 males from Poland and the Czech Republic. Linear regression models showed that the males with a longer head (including the bill length) had a significantly lower formant dispersion and lower fourth and fifth formant frequencies. However, we found no significant relationships between body weight and any filter-related acoustic measurement. The formant frequencies had smaller within- than between-individual coefficients of variation. This characteristic of the formant frequencies implies a high potential for individual coding. A discriminant function analysis correctly assigned 94.8% of the calls to the caller based on formants from second to fifth. Our results indicated that the formant frequencies are a weak indicator of the body size of the sender in the corncrake. However, even weak dependence between body size and acoustic properties of signal may be important in natural selection process. Alternatively, such a weak dependence may be observed, because receivers ignore the acoustical, formant-based cues of body size. Simultaneously, the formants might potentially provide acoustic cues to individual discrimination and could be used to census and monitoring tasks.
机译:源过滤器理论假设呼叫是由声音源生成的,随后被声道过滤。声道中的空气优先以某些共振频率振动,称为共振峰。共振峰频率可以很好地表明呼叫者的特征,例如性别,年龄,身材或个人身份。尽管源过滤器理论最初是针对哺乳动物提出的,但在鸟类中也观察到了共振峰,并且已经证明某些鸟类能够感知共振峰。在这项研究中,我们评估了以下假设:共振峰频率(1)是体型的指标,而(2)可用于区分夜鸟鸟类即玉米脆(Crex crex)的个体。我们分析了来自波兰和捷克共和国的104名男性的电话。线性回归模型显示,具有较长头部(包括钞票长度)的雄性的共振峰分散度明显较低,而第四和第五共振峰频率较低。但是,我们发现体重与任何与过滤器相关的声学测量结果之间没有显着关系。共振峰频率在个体内部的变异系数小于个体之间的变异系数。共振峰频率的这种特性意味着单独编码的潜力很大。判别函数分析基于从第二到第五的共振峰正确地将94.8%的呼叫分配给了呼叫者。我们的结果表明,共振峰频率是玉米脆片中发件人体重的弱指标。但是,在自然选择过程中,即使身体大小与信号的声学特性之间的依赖程度很小,也可能很重要。可替代地,由于接收者忽略了基于共振峰的基于体形的提示,因此可以观察到这种弱的依赖性。同时,共振峰可能会为个人歧视提供声音提示,并可用于普查和监视任务。

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