基于机器学习的动物情绪分类——使用音频信号
声音
2025-03-25 v1 机器学习
摘要
本文提出了一种基于机器学习的方法，用于自动分类狗的情绪状态，通过处理和识别音频信号。这为改进人机界面和 developing更精确的工具以从声学数据中分类情绪提供了有益信息。所提出的模型在针对一只狗记录的音频信号上 demonstrated an overall accuracy value above 70%。
引用
@article{arxiv.2503.18138,
title = {Machine learning based animal emotion classification using audio signals},
author = {Mariia Slobodian and Mykola Kozlenko},
journal= {arXiv preprint arXiv:2503.18138},
year = {2025}
}
备注
5 pages, 3 figures. This paper was originally published in 2022 International Conference on Innovative Solutions in Software Engineering (ICISSE), available: https://zenodo.org/records/7514136