OD-SLA-4.9

Dual Dropout Ranking of Linguistic Features for Alzheimer’s Disease Recognition

Xiaoquan Ke, Man-Wai Mak, The Hong Kong Polytechnic University, Hong Kong; Jinchao Li, Helen M. Meng, The Chinese University of Hong Kong, Hong Kong
Session:
Emotion, Paralinguistic, and Speaker Analysis
Track:
Speech, Language, and Audio (SLA)
Session Time:
Thu, 16 Dec, 14:00 - 16:00 Japan Standard Time (UTC +9)
Thu, 16 Dec, 05:00 - 07:00 Coordinated Universal Time
Thu, 16 Dec, 00:00 - 02:00 Eastern Standard Time (UTC -5)
Wed, 15 Dec, 21:00 - 23:00 Pacific Standard Time (UTC -8)
Session Chair:
Sayaka Shiota, Tokyo Metropolitan University
Presentation
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Discussion
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Session OD-SLA-4
TH2.OD-A.1: INTEGRATION OF ANNOTATOR-WISE ESTIMATIONS FOR EMOTION RECOGNITION BY USING GROUP SOFTMAX
Yuuki Tachioka, Denso IT Laboratory, Japan
TH2.OD-A.2: Hierarchical Prosody Analysis Improves Categorical and Dimensional Emotion Recognition
Xingfeng LI, Xinhui Hu, Xinkang Xu, Hithink RoyalFlush AI Research Institute, China; Taiyang Guo, Masato Akagi, Japan Advanced Institute of Science and Technology, Japan; Jianwu Dang, Japan Advanced Institute of Science and Technology;Tianjin University, Japan
TH2.OD-A.3: A Study of Salient Modulation Domain Features for Speaker Identification
Simon McKnight, Aidan Hogg, Vincent Neo, Patrick Naylor, Imperial College London, United Kingdom of Great Britain and Northern Ireland
TH2.OD-A.4: A STUDY ON DECOUPLED PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS
Di Wang, Hongzhi Yu, Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, China; Lantian Li, Dong Wang, Center for Speech and Language Technologies, BNRist, Tsinghua University, China
TH2.OD-A.5: GENERATION OF SPEAKER REPRESENTATIONS USING HETEROGENEOUS TRAINING BATCH ASSEMBLY
Yu-Huai Peng, Hung-Shin Lee, Pin-Tuan Huang, Hsin-Min Wang, Academia Sinica, Taiwan
TH2.OD-A.6: Speech Emotion Recognition with Fusion of Acoustic- and Linguistic-Feature-Based Decisions
Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita, Ritsumeikan University, Japan
TH2.OD-A.7: AUTOMATIC NATURALNESS RECOGNITION FROM ACTED SPEECH USING NEURAL NETWORKS
Bagus Tris Atmaja, Akira Sasou, National Institute of Advanced Industrial Science and Technology, Japan; Masato Akagi, Japan Advanced Institute of Science and Technology, Japan
TH2.OD-A.8: COMPARATIVE STUDY OF FILTER BANKS TO IMPROVE THE PERFORMANCE OF VOICE DISORDER ASSESSMENT SYSTEMS USING LTAS FEATURES
Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala, International Institute of Information Technology, India
TH2.OD-A.9: Dual Dropout Ranking of Linguistic Features for Alzheimer’s Disease Recognition
Xiaoquan Ke, Man-Wai Mak, The Hong Kong Polytechnic University, Hong Kong; Jinchao Li, Helen M. Meng, The Chinese University of Hong Kong, Hong Kong
TH2.OD-A.10: A Multilingual Framework Based on Pretraining Model for Speech Emotion Recognition
Zhaohang Zhang, Beihang University, Beijing, China, China; Xiaohui Zhang, Beijing Jiaotong University, Beijing, China, China; Min Guo, Wei-Qiang Zhang, Tsinghua University, Beijing, China, China; Ke Li, Yukai Huang, Beijing Haitian Ruisheng Science Technology Ltd., Beijing 100083, China, China
TH2.OD-A.11: FILTERS KNOW HOW YOU FEEL: EXPLAINING INTERMEDIATE SPEECH EMOTION CLASSIFICATION REPRESENTATIONS
Anubhav Anand, Shubham Negi, Narendra N, Wipro Limited, India
TH2.OD-A.12: DETECTING MULTIPLE DISFLUENCIES FROM SPEECH USING PRE-LINGUISTIC AUTOMATIC SYLLABIFICATION WITH ACOUSTIC AND PROSODY FEATURES
Utkarsh Mehrotra, Sparsh Garg, Gurugubelli Krishna, Anil Kumar Vuppala, IIIT Hyderabad, India
TH2.OD-A.13: Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification
Xugang Lu, Peng Shen, Hisashi Kawai, National Institute of Information and Communications Technology, Japan; Yu Tsao, Research Center for Information Technology Innovation, Taiwan
TH2.OD-A.14: Deep Convolutional Neural Network for Voice Liveness Detection
Siddhant Gupta, Kuldeep Khoria, Ankur T. Patil, Hemant A. Patil, Dhirubhai Ambani Institute of Information and Communication Technology, India
TH2.OD-A.15: HOW SPEECH IS RECOGNIZED TO BE EMOTIONAL - A STUDY BASED ON INFORMATION DECOMPOSITION
Haoran Sun, Lantian Li, Thomas Fang Zheng, Dong Wang, Tsinghua University, China
TH2.OD-A.16: END-TO-END SPEAKER AGE AND HEIGHT ESTIMATION USING ATTENTION MECHANISM AND TRIPLET LOSS
Manav Kaushik, Birla Institute of Technology and Science Pilani, India; Van Tung Pham, Tran The Anh, Eng Siong Chng, Nanyang Technological University, Singapore