IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
SPE-16: Language Disorders: Detection I
Sun, 8 May, 23:00 - 23:45 China Time (UTC +8)
Sun, 8 May, 15:00 - 15:45 UTC
Location: Gather Area E
Session Chair: Abeer Alwan, University of California at Los Angeles
Track: Speech and Language Processing

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