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Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information.

, , , , , and . IEEE Multim., 29 (2): 94-103 (2022)

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Speech Emotion Recognition Considering Local Dynamic Features, , , , and . (2018)cite arxiv:1803.07738Comment: 10 pages, 3 figures, accepted by ISSP 2017.Speech production model involving subglottal structure and oral-nasal coupling through closed velum., , , and . ICSLP, page 437-440. ISCA, (1990)基于冗余小波变换与引导滤波的多聚焦图像融合 (Multi-focus Image Fusion Based on Redundant Wavelet Transform and Guided Filtering)., , , and . 计算机科学, 45 (2): 301-305 (2018)Learning Language and Speaker Information for Code-Switch Speech Synthesis with Limited Data., , , , , and . ASRU, page 602-609. IEEE, (2021)Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning., , , , , and . COLING, page 547-558. Association for Computational Linguistics, (2018)Interactions Between Modal and Amodal Semantic Areas in Spoken Word Comprehension., , and . ISSP, volume 10733 of Lecture Notes in Computer Science, page 198-207. Springer, (2017)Prediction of F0 Based on Articulatory Features Using DNN., , , and . ISSP, volume 10733 of Lecture Notes in Computer Science, page 58-67. Springer, (2017)Exploration and Application of Virtual Simulation Practice Teaching Evaluation System Under the Background of New Engineering., , and . ICCSE, page 602-606. IEEE, (2021)Dual-stream Speech Dereverberation Network Using Long-term and Short-term Cues., , , and . IJCNN, page 1-5. IEEE, (2022)Relationship Between Speakers' Physiological Structure and Acoustic Speech Signals: Data-Driven Study Based on Frequency-Wise Attentional Neural Network., , , , , and . EUSIPCO, page 379-383. IEEE, (2022)