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FR2.I: Emotion Recognition

Session Type: Lecture
Time: Friday, 8 May, 11:45 - 13:45
Location: On-Demand
Session Chair: Chi-Chun Lee, National Tsing Hua University
 
   FR2.I.1: SPEECH EMOTION RECOGNITION WITH DUAL-SEQUENCE LSTM ARCHITECTURE
         Jianyou Wang; Duke University
         Michael Xue; Duke University
         Ryan Culhane; Duke University
         Enmao Diao; Duke University
         Jie Ding; University of Minnesota Twin Cities
         Vahid Tarokh; Duke University
 
   FR2.I.2: A DIALOGICAL EMOTION DECODER FOR SPEECH EMOTION RECOGNITION IN SPOKEN DIALOG
         Sung-Lin Yeh; National Tsing Hua University
         Yun-Shao Lin; National Tsing Hua University
         Chi-Chun Lee; National Tsing Hua University
 
   FR2.I.3: FUSION APPROACHES FOR EMOTION RECOGNITION FROM SPEECH USING ACOUSTIC AND TEXT-BASED FEATURES
         Leonardo Pepino; Universidad de Buenos Aires-CONICET
         Pablo Riera; Universidad de Buenos Aires-CONICET
         Luciana Ferrer; Universidad de Buenos Aires-CONICET
         Agustín Gravano; Universidad de Buenos Aires
 
   FR2.I.4: MULTI-TIME-SCALE CONVOLUTION FOR EMOTION RECOGNITION FROM SPEECH AUDIO SIGNALS
         Eric Guizzo; City, University of London
         Tillman Weyde; City, University of London
         Jack Barnett Leveson; City, University of London
 
   FR2.I.5: ORDINAL LEARNING FOR EMOTION RECOGNITION IN CUSTOMER SERVICE CALLS
         Wenjing Han; Kuaishou Technology Corp.
         Tao Jiang; Kuaishou Technology Corp.
         Yan Li; Kuaishou Technology Corp.
         Björn Schuller; Imperial College London
         Huabin Ruan; Tsinghua University
 
   FR2.I.6: HGFM : A HIERARCHICAL GRAINED AND FEATURE MODEL FOR ACOUSTIC EMOTION RECOGNITION
         Yunfeng Xu; Hebei University of Science and Technology
         Hua Xu; Tsinghua University
         Jiyun Zou; Hebei University of Science and Technology