Random Deep Belief Networks for Recognizing Emotions from Speech Signals
Random Deep Belief Networks for Recognizing Emotions from Speech Signals
About this item
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Author / Creator
Publisher
Cairo, Egypt: Hindawi Limiteds
Journal title
Language
English
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Publication information
Publisher
Cairo, Egypt: Hindawi Limiteds
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Scope and Contents
Contents
Now the human emotions can be recognized from speech signals using machine learning methods; however, they are challenged by the lower recognition accuracies in real applications due to lack of the rich representation ability. Deep belief networks (DBN) can automatically discover the multiple levels of representations in speech signals. To make ful...
Alternative Titles
Full title
Random Deep Belief Networks for Recognizing Emotions from Speech Signals
Authors, Artists and Contributors
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5357547
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5357547
Other Identifiers
ISSN
1687-5265
E-ISSN
1687-5273
DOI
10.1155/2017/1945630
