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SLP-P16: Architectures for Emotion and Sentiment Analysis

Session Type: Poster

Time: Thursday, May 16, 15:30 - 17:30

Location: Poster Area B, Ground Floor

Session Chair: Panayiotis Georgiou, University of Southern California

SLP-P16.1: DILATED RESIDUAL NETWORK WITH MULTI-HEAD SELF-ATTENTION FOR SPEECH EMOTION RECOGNITION

Runnan Li; Tsinghua University

Zhiyong Wu; Tsinghua University

Jia Jia; Tsinghua University

Sheng Zhao; Microsoft

Helen Meng; The Chinese University of Hong Kong

SLP-P16.2: CONTEXT MODELLING USING HIERARCHICAL ATTENTION NETWORKS FOR SENTIMENT AND SELF-ASSESSED EMOTION DETECTION IN SPOKEN NARRATIVES

Lukas Stappen; University of Augsburg

Nicholas Cummins; University of Augsburg

Eva-Maria Meßner; University of Ulm

Harald Baumeister; University of Ulm

Judith Dineley; University of Augsburg

Björn Schuller; University of Augsburg

SLP-P16.3: AN INTERACTION-AWARE ATTENTION NETWORK FOR SPEECH EMOTION RECOGNITION IN SPOKEN DIALOGS

Sung-Lin Yeh; National Tsing Hua University

Yun-Shao Lin; National Tsing Hua University

Chi-Chun Lee; National Tsing Hua University

SLP-P16.4: COMPACT CONVOLUTIONAL RECURRENT NEURAL NETWORKS VIA BINARIZATION FOR SPEECH EMOTION RECOGNITION

Huan Zhao; Hunan University

Yufeng Xiao; Hunan University

Jing Han; University of Augsburg

Zixing Zhang; Imperial College London

SLP-P16.5: SPEECH EMOTION RECOGNITION USING CAPSULE NETWORKS

Xixin Wu; The Chinese University of Hong Kong

Songxiang Liu; The Chinese University of Hong Kong

Yuewen Cao; The Chinese University of Hong Kong

Xu Li; The Chinese University of Hong Kong

Jianwei Yu; The Chinese University of Hong Kong

Dongyang Dai; Tsinghua University

Xi Ma; Tsinghua University

Shoukang Hu; The Chinese University of Hong Kong

Zhiyong Wu; Tsinghua University

Xunying Liu; The Chinese University of Hong Kong

Helen Meng; The Chinese University of Hong Kong

SLP-P16.6: HIERARCHICAL TWO-LEVEL MODELLING OF EMOTIONAL STATES IN SPOKEN DIALOG SYSTEMS

Oxana Verkholyak; St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences

Dmitrii Fedotov; Ulm University

Heysem Kaya; Namik Kemal University

Yang Zhang; Huawei

Alexey Karpov; St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences

SLP-P16.7: ATTENTION-AUGMENTED END-TO-END MULTI-TASK LEARNING FOR EMOTION PREDICTION FROM SPEECH

Zixing Zhang; Imperial College London

Bingwen Wu; Imperial College London

Björn Schuller; Imperial College London

SLP-P16.8: EFFICIENT ARABIC EMOTION RECOGNITION USING DEEP NEURAL NETWORKS

Yasser Hifny; University of Helwan

Ahmed Ali; Qatar Computing Research Institute

SLP-P16.9: REVISITING HIDDEN MARKOV MODELS FOR SPEECH EMOTION RECOGNITION

Shuiyang Mao; The Chinese University of Hong Kong

Dehua Tao; The Chinese University of Hong Kong

Guangyan Zhang; The Chinese University of Hong Kong

Pak-Chung Ching; The Chinese University of Hong Kong

Tan Lee; The Chinese University of Hong Kong

SLP-P16.10: DNN-BASED EMOTION RECOGNITION BASED ON BOTTLENECK ACOUSTIC FEATURES AND LEXICAL FEATURES

Eesung Kim; Gwangju Institute of Science and Technology

Jong Won Shin; Gwangju Institute of Science and Technology

SLP-P16.11: CO-ATTENTION NETWORK AND LOW-RANK BILINEAR POOLING FOR ASPECT BASED SENTIMENT ANALYSIS

Peiran Zhang; Alibaba Group

Hongbo Zhu; Alibaba Group

Tao Xiong; Alibaba Group

Yihui Yang; Alibaba Group