Developing a Dataset of Audio Features to Classify Emotions in Speech
Emotion recognition in speech has gained increasing relevance in recent years, enabling more personalized interactions between users and automated systems. This paper presents the development of a dataset of features obtained from RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song)...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-02-01
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| Col·lecció: | Computation |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2079-3197/13/2/39 |
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