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Hybrid Attention based Multimodal Network for Spoken Language Classification
We examine the utility of linguistic content and vocal characteristics for multimodal deep learning in human spoken language understanding. We present a deep multimodal network with both feature attention and modality attention to classify utterance-level speech data. The proposed hybrid attention a...
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| 發表在: | Proc Conf Assoc Comput Linguist Meet |
|---|---|
| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6217979/ https://ncbi.nlm.nih.gov/pubmed/30410219 |
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