Machine learning based animal emotion classification using audio signals
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866913753983877120 |
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| author | Slobodian, Mariia Kozlenko, Mykola |
| author_facet | Slobodian, Mariia Kozlenko, Mykola |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_18138 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Machine learning based animal emotion classification using audio signals Slobodian, Mariia Kozlenko, Mykola Sound Machine Learning 94A12 (Primary) 68T07 (Secondary) H.5.5; I.2.6 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. |
| title | Machine learning based animal emotion classification using audio signals |
| topic | Sound Machine Learning 94A12 (Primary) 68T07 (Secondary) H.5.5; I.2.6 |
| url | https://arxiv.org/abs/2503.18138 |