Machine learning based animal emotion classification using audio signals

• URL: http://arxiv.org/abs/2503.18138v1
• Date: Sun, 23 Mar 2025 16:58:03 GMT
• Title: Machine learning based animal emotion classification using audio signals
• Authors: Mariia Slobodian, Mykola Kozlenko,
• Abstract summary: 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.<n>It offers helpful information for improving human-machine interfaces and developing more precise tools for classifying emotions from acoustic data.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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