首页|Research on the application of English short essay reading emotional analysis in online English teaching under IoT scenario
Research on the application of English short essay reading emotional analysis in online English teaching under IoT scenario
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NETL
NSTL
Wiley
Speech-emotion analysis plays an important role in English teaching. The existingconvolutional neural networks (CNNs) can fully explore the spatial featuresof speech information, and cannot effectively utilize the temporal dependenceof speech signals. In addition, it is difficult to build a more efficient and robustsentiment analysis system by solely utilizing speech information. With thedevelopment of the Internet of Things (IoTs), online multimodal information,including speech, video, and text, has become more convenient. To this end, thispaper proposes a novel multimodal fusion emotion analysis system. Firstly, bycombining convolutional networks with Transformer encoders, the spatiotemporaldependencies of speech information are effectively utilized. To improvemultimodal information fusion, we introduce the exchange-based fusionmechanism.The experimental results on the public dataset indicate that the proposedmultimodal fusion model achieves the best performance. In online Englishteaching, teachers can effectively improve the quality of teaching by leveragingthe feedback information of students’ emotional states through our proposeddeep model.
exchange-based fusionIoTmultimodal emotional analysisonline English teachingtransformer
Xiaoli Zhan
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Liaoyuan Vocational and TechnicalCollege, Jilin, China
NETL
NSTL
Wiley
