Technical Program

SP-L7: Paralinguistics

Session Type: Lecture
Time: Wednesday, March 8, 13:30 - 15:30
Location: Grand Salon 16
Session Chairs: Emily Mower Provost, University of Michigan and Shri Narayanan, USC
 
SP-L7.1: HYPERARTICULATION DETECTION IN REPETITIVE VOICE QUERIES USING PAIRWISE COMPARISON FOR IMPROVED SPEECH RECOGNITION
         Ranjitha Gurunath Kulkarni; Microsoft
         Ahmed El Kholy; Microsoft
         Ziad Al Bawab; Microsoft
         Noha Alon; Microsoft
         Imed Zitouni; Microsoft
         Umut Ozertem; Microsoft
         Shuangyu Chang; Microsoft
 
SP-L7.2: MULTI-TASK DEEP NEURAL NETWORK WITH SHARED HIDDEN LAYERS: BREAKING DOWN THE WALL BETWEEN EMOTION REPRESENTATIONS
         Yue Zhang; Imperial College London
         Yifan Liu; Imperial College London
         Felix Weninger; Nuance Communications
         Björn Schuller; Imperial College London
 
SP-L7.3: RANKING EMOTIONAL ATTRIBUTES WITH DEEP NEURAL NETWORKS
         Srinivas Parthasarathy; The University of Texas at Dallas
         Reza Lotfian; The University of Texas at Dallas
         Carlos Busso; The University of Texas at Dallas
 
SP-L7.4: ENSEMBLE FEATURE SELECTION FOR DOMAIN ADAPTATION IN SPEECH EMOTION RECOGNITION
         Mohammed Abdelwahab; The University of Texas at Dallas
         Carlos Busso; The University of Texas at Dallas
 
SP-L7.5: PREDICTION-BASED LEARNING FOR CONTINUOUS EMOTION RECOGNITION IN SPEECH
         Jing Han; University of Passau
         Zixing Zhang; University of Passau
         Fabien Ringeval; University of Grenoble Alpes
         Björn Schuller; University of Passau
 
SP-L7.6: PREDICTING DIALOGUE SUCCESS, NATURALNESS, AND LENGTH WITH ACOUSTIC FEATURES
         Alexandros Papangelis; Toshiba Research Europe Ltd.
         Margarita Kotti; Toshiba Research Europe Ltd.
         Yannis Stylianou; Toshiba Research Europe Ltd.