Applying convolutional neural networks to the analysis of mouse ultrasonic vocalizations
Applying convolutional neural networks to the analysis of mouse ultrasonic vocalizations
R. Abbasi,Péter Balázs,5 Authors,D. Penn
2019
2 Citations
TLDR
This work aimed to improve the detection of mouse USVs with A-MUD by classifying vocalizations into three discrete syllable types (with 0, 1, or ≥2 frequency-jumps) or FP, and selected Supervised Convolutional Neural Networks (CNNs) outperformed this conventional classification method.