Developing a Dataset of Audio Features to Classify Emotions in Speech

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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Bibliographic Details
Main Authors: Alvaro A. Colunga-Rodriguez, Alicia Martínez-Rebollar, Hugo Estrada-Esquivel, Eddie Clemente, Odette A. Pliego-Martínez
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Computation
Subjects:
emotions
RAVDESS
machine learning
speech emotion recognition
SVM
perceptron
Online Access:https://www.mdpi.com/2079-3197/13/2/39

Internet

https://www.mdpi.com/2079-3197/13/2/39

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