Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap).

ABSTRACT: House mice communicate through ultrasonic vocalizations (USVs), which are above the range of human hearing (>20 kHz), and several automated methods have been developed for USV detection and classification. Here we evaluate their advantages and disadvantages in a full, systematic comparison, while also presenting a new approach. This study aims to 1) determine the most efficient USV detection tool among the existing methods, and 2) develop a classification model that is more generalizable than existing methods. In both cases, we aim to minimize the user intervention required for processing new data. We compared the performance of four detection methods in an out-of-the-box approach, pretrained DeepSqueak detector, MUPET, USVSEG, and the Automatic Mouse Ultrasound Detector (A-MUD). We also c

SUBMITTER: Abbasi R 

PROVIDER: S-EPMC9098080 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature