Machine learning based animal emotion classification using audio signals

Abstract--This paper presents the machine learning approach to the automated classification of a dog's emotional state based on the processing and recognition of audio signals. It offers helpful information for improving human-machine interfaces and developing more precise tools for classifying emotions from acoustic data. The presented model demonstrates an overall accuracy value above 70% for audio signals recorded for one dog. I.Introduction Scientists suggest that canines are far more intelligent than people realize. Over the years, there have been a lot of publications about studies focused on dogs.