Fitch W Tecumseh, Anikin Andrey, Pisanski Katarzyna, Valente Daria, Reby David
Department of Behavioral and Cognitive Biology, University of Vienna, Djerassiplatz 1, Vienna, 1030, Austria.
Division of Cognitive Science, Lund University, Helgonavägen 3, Lund, 223 62, Sweden.
BMC Biol. 2025 Apr 7;23(1):92. doi: 10.1186/s12915-025-02188-w.
When applied to vertebrate vocalizations, source-filter theory, initially developed for human speech, has revolutionized our understanding of animal communication, resulting in major insights into the form and function of animal sounds. However, animal calls and human nonverbal vocalizations can differ qualitatively from human speech, often having more chaotic and higher-frequency sources, making formant measurement challenging. We review the considerable achievements of the "formant revolution" in animal vocal communication research, then highlight several important methodological problems in formant analysis. We offer concrete recommendations for effectively applying source-filter theory to non-speech vocalizations and discuss promising avenues for future research in this area.Brief Formants (vocal tract resonances) play key roles in animal communication, offering researchers exciting promise but also potential pitfalls.
最初为人类语音发展而来的源-滤波器理论应用于脊椎动物发声时,彻底改变了我们对动物交流的理解,使我们对动物声音的形式和功能有了重要认识。然而,动物叫声和人类非语言发声在性质上可能与人类语音不同,其声源通常更混乱且频率更高,这使得共振峰测量具有挑战性。我们回顾了动物发声交流研究中“共振峰革命”的重大成就,然后强调了共振峰分析中的几个重要方法问题。我们为有效将源-滤波器理论应用于非语音发声提供了具体建议,并讨论了该领域未来研究的有前景的途径。简短的共振峰(声道共振)在动物交流中起着关键作用,为研究人员带来了令人兴奋的前景,但也存在潜在的陷阱。