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Affective Latent Representation of Acoustic and Lexical Features for Emotion Recognition

In this paper, we propose a novel emotion recognition method based on the underlying emotional characteristics extracted from a conditional adversarial auto-encoder (CAAE), in which both acoustic and lexical features are used as inputs. The acoustic features are generated by calculating statistical...

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Detalles Bibliográficos
Publicado en:Sensors (Basel)
Autores principales: Kim, Eesung, Song, Hyungchan, Shin, Jong Won
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI 2020
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7248815/
https://ncbi.nlm.nih.gov/pubmed/32375342
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20092614
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