Learning Robust Heterogeneous Signal Features from Parallel Neural Network for Audio Sentiment Analy...
Learning Robust Heterogeneous Signal Features from Parallel Neural Network for Audio Sentiment Analysis
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Audio Sentiment Analysis is a popular research area which extends the conventional text-based sentiment analysis to depend on the effectiveness of acoustic features extracted from speech. However, current progress on audio sentiment analysis mainly focuses on extracting homogeneous acoustic features or doesn't fuse heterogeneous features effectivel...
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Learning Robust Heterogeneous Signal Features from Parallel Neural Network for Audio Sentiment Analysis
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TN_cdi_proquest_journals_2136325461
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2136325461
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2331-8422
