Author:
Chenchah Farah,Lachiri Zied
Reference21 articles.
1. Speech Emotion Analysis: Exploring the Role of Context;Tawari;IEEE Transactions on Multimedia,2010
2. survey on speech emotion recognition:features, classifiation, schemes and databases”;Ayadi;Pattern Recognition,2011
3. A survey of affect recognition methods: audio, visual, and spontaneous expressions;Zeng;IEEE Transactions on Pattern Analysis and Machine Intelligence,2009
4. C.Busso, M.Bulut, and S.Narayanan, “Toward effective automatic recognition systems of emotion in speech”, In Social emotions in nature and artifact: emotions in human and human-computer interaction. S. Marsella J. Gratch, Ed, Oxford University Press,2012.
5. D.Le and E.M.Provost, “Emotion recognition from spontaneous speech using hidden markov models with deep belief networks”, Automatic Speech Recognition and Understanding (ASRU). Olomouc, Czech Republic, December 2013.
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