Unsupervised classification of graded animal vocalisations using fuzzy clustering
Benjamin Benti, Patrick JO Miller, Heike Vester, Florencia Noriega, Charlotte Curé
This paper presents an unsupervised method for classifying graded animal vocalisations using fuzzy clustering and Mel frequency cepstral coefficients, showing it can identify both stereotyped and graded vocalisations but with lower precision than manual classification.
Bioacoustics · Oct 7, 2025Peer-reviewedAnimal Behavior & Cognition