Resumo

ELKFURY, Fernando  e  IERACHE, Jorge. Emotion classification and representation of emotion in spanish spoken speech using Deep Learning. RISTI [online]. 2021, n.42, pp.78-92.  Epub 30-Jun-2021. ISSN 1646-9895.  https://doi.org/10.17013/risti.42.78-92.

Inferring emotions from people's voices involves many problems that need to be studied, such as: what emotions can we really define, specifically define what is meant by each described emotion, what are the best features to extract, and which classifiers perform the best. In this work we compare two neural networks models for the classification of emotions in spoken speech (voice) and a method is proposed for the transformation of the categorical approach of emotion classification to a dimensional one for the integration of the develop classifier with an emotional inference multimodal framework.

Palavras-chave : Deep Learning; emotion recognition; framework; neuronal network.

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