[1] PICARD R W.Affective computing[M].[S.1.]:MIT Press,1997. [2] NICOLAOU M A,GUNES H,PANTIC M.Audio-visual classification and fusion of spontaneous affective data inlikelihood space[C]//Proceedings of the 20th International Conference on Pattern Recognition.Washington D.C.,USA:IEEE Press,2010:3695-3699. [3] GRIMM M,KROSCHEL K.Emotion estimation in speech using a 3D emotion space concept[EB/OL].[2019-02-20].http://www.doc88.com/p-0877384901283.html. [4] METALLINOU A,WOLLMER M,KATSAMANIS A,et al.Context-sensitive learning for enhanced audiovisual emotion classification[J].IEEE Transactions on Affective Computing,2012,3(2):184-198. [5] CHAO Linlin,TAO Jianhua,YANG Minghao,et al.Multiscale temporal modeling for dimensional emotion recognition in video[C]//Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge.New York,USA:ACM Press,2014:11-18. [6] RINGEVAL F,EYBEN F,KROUPI E,et al.Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data[J].Pattern Recognition Letters,2015,66:22-30. [7] HUANG Jian,LI Ya,TAO Jianhua,et al.End-to-end continuous emotion recognition from video using 3D convlstm networks[C]//Proceedings of 2018 IEEE International Conference on Acoustics,Speech and Signal Processing.Washington D.C.,USA:IEEE Press,2018:6837-6841. [8] ZHU Congxian.Research on deep learning-based speech emotion recognition method[D].Nanjing:Southeast University,2016.(in Chinese)朱从贤.基于深度学习的语音情感识别方法的研究[D].南京:东南大学,2016. [9] XU K,BA J,KIROS R,et al.Show,attend and tell:neural image caption generation with visual attention[EB/OL].[2019-02-20].https://arxiv.org/abs/1502.03044. [10] CHOROWSKI J,BAHDANAU D,SERDYUK D,et al.Attention-based models for speech recognition[J].Computer Science,2015,10(4):429-439. [11] GAO Lilian,GUO Zhao,ZHANG Hanwang,et al.Video captioning with attention-based LSTM and semantic consistency[J].IEEE Transactions on Multimedia,2017,19(9):2045-2055. [12] JING Chenkai,SONG Tao,ZHUANG Lei,et al.A survey of face recognition based on deep convolutional neural network[J].Computer Applications and Software,2018,35(1):223-231.(in Chinese)景晨凯,宋涛,庄雷,等.基于深度卷积神经网络的人脸识别技术综述[J].计算机应用与软件,2018,35(1):223-231. [13] ZHANG Jiakang,CHEN Qingkui.CUDA technology based Recognition algorithm of convolutional neural networks[J].Computer Engineering,2010,36(15):179-181.(in Chinese)张佳康,陈庆奎.基于CUDA技术的卷积神经网络识别算法[J].计算机工程,2010,36(15):179-181. [14] HAN Wenjing,LI Haifeng,RUAN Huanbin,et al.Review on speech emotion recognition[J].Journal of Software,2014,25(1):37-50.(in Chinese)韩文静,李海峰,阮华斌,等.语音情感识别研究进展综述[J].软件学报,2014,25(1):37-50. [15] FRIEDMAN J,HASTIE T,TIBSHIRANI R.Regularization paths for generalized linear models via coordinate descent[J].Journal of Statistical Software,2010,33(1):1-22. [16] ISRAELI O.A Shapley-based decomposition of the R-square of a linear regression[J].Journal of Economic Inequality,2007,5(2):199-212. [17] ADLER J,PARMRYD I.Quantifying colocalization by correlation:the Pearson correlation coefficient is superior to the Mander's overlap coefficient[J].Cytometry Part A,2010,77(8):733-742. [18] VALSTAR M,GRATCH J.AVEC 2016:depression,mood,and emotion recognition workshop and challenge[EB/OL].[2019-02-20].https://www.researchgate.net/publication. [19] CHAO Linlin,TAO Jianhua,YANG Minghao,et al.Long short term memory recurrent neural network based multimodal dimensional emotion recognition[C]//Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge.New York,USA:ACM Press,2015:65-72. [20] CHEN Shizhe,JIN Qin.Multi-modal dimensional emotion recognition using recurrent neural networks[C]//Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge.New York,USA:ACM Press,2015:49-56. [21] SCHUUER B,SCHULLER B.Multimodal sentiment analysis in the wild:Ethical considerations on data collection,annotation,and exploitation[EB/OL].[2019-02-10].http://www.1rec-conf.rogl. [22] HUANG Z,STASAK B,DANG T,et al.Staircase regression in OA RVM,data selection and gender dependency in AVEC 2016[C]//Proceedings of International Workshop on Audio/visual Emotion Challenge.New York,USA:ACM Press,2016:125-136. [23] SUN Bo,CAO Siming,LI Liandong,et al.Exploring multimodal visual features for continuous affect recognition[C]//Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge.New York,USA:ACM Press,2016:325-337. |