id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-29257	Wei, Jia; Sun, Xiangguo	Bimodal Emotion Recognition based on Sichuan Dialect	2025	5	.pdf	application/pdf	3458	186	46	With the rapid rise of artificial neural networks, especially deep learning technology, the performance of emotion recognition models has been greatly improved, laying a solid foundation for emotion recognition in more complex language environments. The model adopts the dual-modal fusion strategy of Mel spectral features (MFCCs) and text features, uses dynamic convolutional network (ODConv) and convolutional block attention module (CBAM) to extract features, and combines the Text-CNN model for text sentiment analysis.	cache/fcis-29257.pdf	txt/fcis-29257.txt