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DEEP MULTIMODAL LEARNING FOR EMOTION RECOGNITION IN SPOKEN LANGUAGE
In this paper, we present a novel deep multimodal framework to predict human emotions based on sentence-level spoken language. Our architecture has two distinctive characteristics. First, it extracts the high-level features from both text and audio via a hybrid deep multimodal structure, which consi...
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| Published in: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6261381/ https://ncbi.nlm.nih.gov/pubmed/30505240 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICASSP.2018.8462440 |
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