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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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Autori principali: Alvaro A. Colunga-Rodriguez, Alicia Martínez-Rebollar, Hugo Estrada-Esquivel, Eddie Clemente, Odette A. Pliego-Martínez
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-02-01
Serie:Computation
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Accesso online:https://www.mdpi.com/2079-3197/13/2/39
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