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Emotion Recognition from Speech: An Unsupervised Learning Approach

Speech processing is quickly shifting toward affective computing, that requires handling emotions and modeling expressive speech synthesis and recognition. The latter task has been so far achieved by supervised classifiers. This implies a prior labeling and data preprocessing, with a cost that incre...

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Auteurs principaux: Stefano Rovetta, Zied Mnasri, Francesco Masulli, Alberto Cabri
Format: Artigo
Langue:Inglês
Publié: Springer 2020-10-01
Collection:International Journal of Computational Intelligence Systems
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Accès en ligne:https://www.atlantis-press.com/article/125945494/view
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