SPE-86.4
CUSTOMER SATISFACTION ESTIMATION USING UNSUPERVISED REPRESENTATION LEARNING WITH MULTI-FORMAT PREDICTION LOSS
Atsushi Ando, Yumiko Murata, Ryo Masumura, Satoshi Suzuki, Naoki Makishima, Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, NTT Corporation, Japan
Session:
Speech Paralinguistics: Representation Learning
Track:
Speech and Language Processing
Location:
Gather Area B
Presentation Time:
Fri, 13 May, 22:00 - 22:45 China Time (UTC +8)
Fri, 13 May, 14:00 - 14:45 UTC
Fri, 13 May, 14:00 - 14:45 UTC
Session Co-Chairs:
Mathew Magimai Doss, Idiap Research Institute and Jibin Wu, National University of Singapore
Session SPE-86
SPE-86.1: MODELING OF PRE-TRAINED NEURAL NETWORK EMBEDDINGS LEARNED FROM RAW WAVEFORM FOR COVID-19 INFECTION DETECTION
Zohreh Mostaani, RaviShankar Prasad, Bogdan Vlasenko, Mathew Magimai Doss, Idiap Research Institute, Switzerland
SPE-86.2: DUAL ATTENTION POOLING NETWORK FOR RECORDING DEVICE CLASSIFICATION USING NEUTRAL AND WHISPERED SPEECH
Abinay Reddy Naini, Prasanta Kumar Ghosh, Indian Institute of Science, Bangalore, India; Bhavuk Singhal, Information Technology, Bundelkhand Institute of Engineering and Technology, Jhansi, India, India
SPE-86.3: ENTRAINMENT ANALYSIS FOR ASSESSMENT OF AUTISTIC SPEECH PROSODY USING BOTTLENECK FEATURES OF DEEP NEURAL NETWORK
Keiko Ochi, Kyoto University, Japan; Nobutaka Ono, Tokyo Metropolitan University, Japan; Keiho Owada, Miho Kuroda, Shigeki Sagayama, University of Tokyo, Japan; Hidenori Yamasue, Hamamatsu University School of Medicine, Japan
SPE-86.4: CUSTOMER SATISFACTION ESTIMATION USING UNSUPERVISED REPRESENTATION LEARNING WITH MULTI-FORMAT PREDICTION LOSS
Atsushi Ando, Yumiko Murata, Ryo Masumura, Satoshi Suzuki, Naoki Makishima, Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, NTT Corporation, Japan
SPE-86.5: Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors
José Vicente Egas-López, University of Szeged, Hungary; Gábor Kiss, Sztahó David, Budapest University of Technology and Economics, Hungary; Gábor Gosztolya, MTA-SZTE Research Group on Artificial Intelligence, Hungary
SPE-86.6: AUTOMATIC DEPRESSION LEVEL ASSESSMENT FROM SPEECH BY LONG-TERM GLOBAL INFORMATION EMBEDDING
Ya Li, Beijing University of Posts and Telecommunications, China; Mingyue Niu, Ziping Zhao, Tianjin Normal University, China; Jianhua Tao, Institute of Automation, Chinese Academy of Sciences, China