Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework.

ABSTRACT: Examination of rodent vocalizations in experimental conditions can yield valuable insights into how disease manifests and progresses over time. It can also be used as an index of social interest, motivation, emotional development or motor function depending on the animal model under investigation. Most mouse communication is produced in ultrasonic frequencies beyond human hearing. These ultrasonic vocalizations (USV) are typically described and evaluated using expert defined classification of the spectrographic appearance or simplistic acoustic metrics resulting in nine call types. In this study, we aimed to replicate the standard expert-defined call types of communicative vocal behavior in mice by using acoustic analysis to characterize USVs and a principled supervised learning setup. We

SUBMITTER: Vogel AP 

PROVIDER: S-EPMC6542843 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature