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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...
Sparad:
| I publikationen: | Sensors (Basel) |
|---|---|
| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | 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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