Weiquan Fan — accepted AI-conference papers

2023

MGAT: Multi-Granularity Attention Based Transformers for Multi-Modal Emotion Recognition

Weiquan Fan, Xiaofen Xing, Bolun Cai, Xiangmin Xu

ICASSP 2023accepted

Multi-modal emotion recognition is crucial for human-computer interaction. Many existing algorithms attempt to achieve multi-modal interactions through a cross-attention mechanism. Due to the problems of noise introduction and heavy computation in the original attention mechanism, window attention h…

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2021

LSSED: A Large-Scale Dataset and Benchmark for Speech Emotion Recognition

Weiquan Fan, Xiangmin Xu, Xiaofen Xing, Weidong Chen, Dongyan Huang

ICASSP 2021accepted

Speech emotion recognition is a vital contributor to the next generation of human-computer interaction (HCI). However, current existing small-scale databases have limited the development of related research. In this paper, we present LSSED, a challenging large-scale english speech emotion dataset, w…

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