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Combining Video, Audio and Lexical Indicators of Affect in Spontaneous Conversation via Particle Filtering

We present experiments on fusing facial video, audio and lexical indicators for affect estimation during dyadic conversations. We use temporal statistics of texture descriptors extracted from facial video, a combination of various acoustic features, and lexical features to create regression based af...

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Detalhes bibliográficos
Main Authors: Savran, Arman, Cao, Houwei, Shah, Miraj, Nenkova, Ani, Verma, Ragini
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4187218/
https://ncbi.nlm.nih.gov/pubmed/25300451
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2388676.2388781
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