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Improved semi-supervised autoencoder for deception detection
Existing algorithms of speech-based deception detection are severely restricted by the lack of sufficient number of labelled data. However, a large amount of easily available unlabelled data has not been utilized in reality. To solve this problem, this paper proposes a semi-supervised additive noise...
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| Udgivet i: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Public Library of Science
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6782094/ https://ncbi.nlm.nih.gov/pubmed/31593570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0223361 |
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