SPE-24: Speech Emotion 2: Neural Networks for Speech Emotion Recognition |
Session Type: Poster |
Time: Wednesday, 9 June, 15:30 - 16:15 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Carlos Busso, The University of Texas at Dallas |
SPE-24.1: A NOVEL END-TO-END SPEECH EMOTION RECOGNITION NETWORK WITH STACKED TRANSFORMER LAYERS |
Xianfeng Wang; Artificial Intelligence Application Research Center, Huawei Technologies |
Min Wang; Artificial Intelligence Application Research Center, Huawei Technologies |
Wenbo Qi; Artificial Intelligence Application Research Center, Huawei Technologies |
Wanqi Su; Artificial Intelligence Application Research Center, Huawei Technologies |
Xiangqian Wang; Artificial Intelligence Application Research Center, Huawei Technologies |
Huan Zhou; Artificial Intelligence Application Research Center, Huawei Technologies |
SPE-24.2: A NOVEL ATTENTION-BASED GATED RECURRENT UNIT AND ITS EFFICACY IN SPEECH EMOTION RECOGNITION |
Srividya Tirunellai Rajamani; University of Augsburg |
Kumar T. Rajamani; University of Lübeck |
Adria Mallol-Ragolta; University of Augsburg |
Shuo Liu; University of Augsburg |
Björn Schuller; University of Augsburg |
SPE-24.3: MAEC: MULTI-INSTANCE LEARNING WITH AN ADVERSARIAL AUTO-ENCODER-BASED CLASSIFIER FOR SPEECH EMOTION RECOGNITION |
Changzeng Fu; Osaka University |
Chaoran Liu; Advanced Telecommunications Research Institute International |
Carlos Toshinori Ishi; Advanced Telecommunications Research Institute International |
Hiroshi Ishiguro; Osaka University |
SPE-24.4: REPRESENTATION LEARNING WITH SPECTRO-TEMPORAL-CHANNEL ATTENTION FOR SPEECH EMOTION RECOGNITION |
Lili Guo; Tianjin University |
Longbiao Wang; Tianjin University |
Chenglin Xu; National University of Singapore |
Jianwu Dang; Tianjin University |
Eng Siong Chng; Nanyang Technological University |
Haizhou Li; National University of Singapore |
SPE-24.5: SPEECH EMOTION RECOGNITION USING QUATERNION CONVOLUTIONAL NEURAL NETWORKS |
Aneesh Muppidi; Stony Brook University |
Martin Radfar; Stony Brook University |
SPE-24.6: DOMAIN-ADVERSARIAL AUTOENCODER WITH ATTENTION BASED FEATURE LEVEL FUSION FOR SPEECH EMOTION RECOGNITION |
Yuan Gao; Tianjin University |
Jiaxing Liu; Tianjin University |
Longbiao Wang; Tianjin University |
Jianwu Dang; Japan Advanced Institute of Science and Technology |