# Machine learning based animal emotion classification using audio signals

arXiv: https://arxiv.org/abs/2503.18138 · HTML: https://mlsanity.com/paper/2503.18138/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 8 references that are in the map.
- First posted on arXiv 23 Mar 2025.

## Builds on (most cited first, 2 of 2)

- [Software defined demodulation of multiple frequency shift keying with dense neural network for weak signal communications](https://mlsanity.com/paper/2502.16371/) (2025)
- [Software demodulation of weak radio signals using convolutional neural network](https://mlsanity.com/paper/2502.19097/) (2025)

## Abstract (arXiv)

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.