SPE-16.2
Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning
Youxiang Zhu, Bang Tran, Xiaohui Liang, University of Massachusetts Boston, United States of America; John Batsis, University of North Carolina at Chapel Hill, United States of America; Robert Roth, Geisel School of Medicine at Dartmouth, United States of America
Session:
Language Disorders: Detection I
Track:
Speech and Language Processing
Location:
Gather Area E
Presentation Time:
Sun, 8 May, 23:00 - 23:45 China Time (UTC +8)
Sun, 8 May, 15:00 - 15:45 UTC
Sun, 8 May, 15:00 - 15:45 UTC
Session Chair:
Abeer Alwan, University of California at Los Angeles
Session SPE-16
SPE-16.1: DEMENTIA DETECTION BY FUSING SPEECH AND EYE-TRACKING REPRESENTATION
Zhengyan Sheng, Zhiqiang Guo, University of Science and Technology of China, China; Xin Li, iFlytek, China; Yunxia Li, Shanghai Tongji Hospital, China; Zhenhua Ling, National Engineering Laboratory for Speech and Language Information Processing,University of Science and Technology of China, Hefei, P.R.China, China
SPE-16.2: Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning
Youxiang Zhu, Bang Tran, Xiaohui Liang, University of Massachusetts Boston, United States of America; John Batsis, University of North Carolina at Chapel Hill, United States of America; Robert Roth, Geisel School of Medicine at Dartmouth, United States of America
SPE-16.3: USING SPECTRAL SEQUENCE-TO-SEQUENCE AUTOENCODERS TO ASSESS MILD COGNITIVE IMPAIRMENT
Mercedes Vetráb, José Vicente Egas-López, Réka Balogh, Nóra Imre, László Tóth, Magdolna Pákáski, János Kálmán, University of Szeged, Hungary; Ildikó Hoffmann, Research Institute for Linguistics, Hungary; Gábor Gosztolya, ELRN-SZTE Research Group on Artificial Intelligence, Hungary
SPE-16.4: EXPLORING DEMENTIA DETECTION FROM SPEECH: CROSS CORPUS ANALYSIS
Ayimnisagul Ablimit, Tanja Schultz, University of Bremen, Germany; Catarina Botelho, Alberto Abad, Isabel Trancoso, INESC-ID/Instituto Superior Técnico, Portugal
SPE-16.5: EXPERIMENTAL INVESTIGATION ON STFT PHASE REPRESENTATIONS FOR DEEP LEARNING-BASED DYSARTHRIC SPEECH DETECTION
Parvaneh Janbakhshi, Ina Kodrasi, Idiap Research Institute, Switzerland
SPE-16.6: DYSFLUENCY CLASSIFICATION IN STUTTERED SPEECH USING DEEP LEARNING FOR REAL-TIME APPLICATIONS
Melanie Jouaiti, Kerstin Dautenhahn, University of Waterloo, Canada