2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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SPE-45: Speech Analysis

Session Type: Poster
Time: Thursday, 10 June, 16:30 - 17:15
Location: Gather.Town
Session Chair: Torbjørn Svendsen, Norwegian University of Science and Technology
 
   SPE-45.1: COMPARATIVE STUDY OF DIFFERENT EPOCH EXTRACTION METHODS FOR SPEECH ASSOCIATED WITH VOICE DISORDERS
         Purva Barche; International Institute of Information Technology, Hyderabad
         Krishna Gurugubelli; International Institute of Information Technology, Hyderabad
         Anil Kumar Vuppala; International Institute of Information Technology, Hyderabad
 
   SPE-45.2: HAVE YOU MADE A DECISION? WHERE? A PILOT STUDY ON INTERPRETABILITY OF POLARITY ANALYSIS BASED ON ADVISING PROBLEM
         Tianda Li; Queen's University
         Jia-Chen Gu; University of Science and Technology of China
         Hui Liu; Queen's University
         Quan Liu; iFLYTEK Research
         Zhen-hua Ling; University of Science and Technology of China
         Zhiming Su; iFLYTEK Research
         Xiaodan Zhu; Queen's University
 
   SPE-45.3: TRANSFORMER BASED UNSUPERVISED PRE-TRAINING FOR ACOUSTIC REPRESENTATION LEARNING
         Ruixiong Zhang; Didi Chuxing
         Haiwei Wu; Didi Chuxing
         Wubo Li; Didi Chuxing
         Dongwei Jiang; Didi Chuxing
         Wei Zou; Didi Chuxing
         Xiangang Li; Didi Chuxing
 
   SPE-45.4: A COMPARISON OF CONVOLUTIONAL NEURAL NETWORKS FOR GLOTTAL CLOSURE INSTANT DETECTION FROM RAW SPEECH
         Jindrich Matousek; University of West Bohemia
         Daniel Tihelka; University of West Bohemia
 
   SPE-45.5: ENCODER-DECODER BASED PITCH TRACKING AND JOINT MODEL TRAINING FOR MANDARIN TONE CLASSIFICATION
         Hao Huang; Xinjiang University
         Kai Wang; Xinjiang University
         Ying Hu; Xinjiang University
         Sheng Li; National Institute of Information and Communications Technology
 
  SPE-45.6: ANALYSIS AND DETECTION OF PATHOLOGICAL VOICE USING GLOTTAL SOURCE FEATURES
         Sudarsana Reddy Kadiri; Aalto University
         Paavo Alku; Aalto University