App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 1

Integrating global awareness and dynamic temporal alignment for cross-modal emotion recognition

Lian Yanglei
Hu Junfeng
School of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China
DOI: 10.19734/j.issn.1001-3695.2026.05.0149

Abstract

To address cross-modal temporal asynchrony, text dominance, and insufficient utilization of non-verbal cues in multimodal emotion recognition, this study proposed a Temporal-Global-Frequency Fusion Network (TGF-Net) . TGF-Net adopted a Main-Auxiliary Collaborative Three-Branch Architecture. The three branches performed complementary modeling from the perspectives of semantic interaction, global context, and hybrid time-frequency representation. To alleviate temporal misalignment caused by dynamic semantic delays across modalities, the model introduced a Genlock-Fuzzy Convolution (GFC) module. GFC used phase-offset estimation, adaptive fuzzy windows, and dynamic Gaussian soft convolution to achieve fine-grained temporal resampling. This mechanism provided a learnable calibration approach for cross-modal semantic alignment. The model also constructed a global branch to retrieve long-range emotional dependencies and peripheral emotional cues. In addition, it designed a frequency branch based on hybrid-domain decoupling to supplement frequency-domain acoustic information. Experiments on CMU-MOSEI and CH-SIMS v2 showed that TGF-Net achieved binary classification accuracies of 86.49% and 80.56%, respectively. It also achieved accuracies of 54.26% and 58.51% on the seven-class and five-class tasks, respectively. These results demonstrate the effectiveness of TGF-Net in multimodal emotion recognition.

Foundation Support

国家自然科学基金资助项目(32202147)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.05.0149
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 1

Publish History

[2026-09-08] Accepted Paper

Cite This Article

廉杨磊, 胡峻峰. 融合全局感知与动态时序对齐的跨模态情绪识别 [J]. 计算机应用研究, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0149. (Lian Yanglei, Hu Junfeng. Integrating global awareness and dynamic temporal alignment for cross-modal emotion recognition [J]. Application Research of Computers, 2027, 44 (1). (2026-09-14). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0149. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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