id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-2968	Li, Anmengdie; Zhang, Jinglei; Wang, Kaili	Study on the Correlation between Drivers' Anger Language and Driving Anger	2022	6	.pdf	application/pdf	4498	164	49	In the following research, anger language can be used as a feature vector for angry driving recognition system according to the classification. To sum up, anger language research focuses on speech 62 recognition, using typical speech feature parameters such as Mel-Frequency Cepstral Coefficients (MFCC), Linear Prediction Coefficients (LPC), Linear Predictive Cepstral Coefficients (LPCC) to model and complete anger emotion recognition; model performance is improved on the basis of face recognition, to prove the correlation between voice and emotion recognition.	cache/fcis-2968.pdf	txt/fcis-2968.txt