Author Archives: Xiaohui Liang

Xiaohui Liang, John A. Batsis, Youxiang Zhu, Tiffany M. Driesse, Robert M. Roth, David Kotz, and Brian MacWhinney Early detection of cognitive decline involved in Alzheimer’s Disease and Related Dementias (ADRD) in older adults living alone is essential for developing, planning, and initiating interventions and support systems to improve users’ everyday function and quality ofContinue reading ““Evaluating Voice-Assistant Commands for Dementia Detection” has been accepted by Computer Speech & Language”

https://icc2022.ieee-icc.org/ The e-Health track provides an opportunity to bring together healthcare professionals, researchers, scientists, engineers, academics, and students from all around the world to share their experience and latest advances on new technologies and systems development in different healthcare and medicine applications. In particular, the e-Health track of the SAC symposium will focus on theContinue reading “Xiaohui is organizing Symposium on e-Health at IEEE International Conference on Communications (ICC) 2022”

Youxiang Zhu, Abdelrahman Obyat, Xiaohui Liang, John A. Batsis, and Robert M. Roth In this paper, we exploit semantic and non-semantic information from patient’s speech data using Wav2vec and Bidirectional En-coder Representations from Transformers (BERT) for dementia detection. We first propose a basic WavBERT model by extracting semantic information from speech data using Wav2vec, andContinue reading “WavBERT: Exploiting Semantic and Non-semantic Speech using Wav2vec and BERT for Dementia Detection”

Xiaohui’s group and SondeHealth will collaborate on research related to vocal biomarkers and mental health disorders. Thanks to Jim Schwoebel, Vice President of Data and Research at SondeHealth, for this collaboration opportunity and the access to the voice dataset collected over thousands of users at Sonde Health. Check more about SondeHealth at https://www.sondehealth.com/ Check more about SurveylexContinue reading “Collaborative Research with SondeHealth”

2021/2 Using Speech Data From Interactions With a Voice Assistant to Predict the Risk of Future Accidents for Older Drivers: Prospective Cohort Study 2021/4 Can Medical Alexas Make Us Healthier?

We have participated in the ADReSSo 2021 challenge, and submitted “WavBERT: Exploiting Semantic and Non-semantic Speech using Wav2vec and BERT for Dementia Detection,” Youxiang Zhu, Abdelrahman Obyat, Xiaohui Liang, John Batsis and Robert Roth ADReSSo 2021: http://www.homepages.ed.ac.uk/sluzfil/ADReSSo-2021/

Meeting using Zoom Attendees: Dr. Liang, Dr. Batsis, Dr. Roth, Dr. Kotz, Dr. MacWhinney, Tiffany, Youxiang We have discussed the project progress, including: We have collected 11 VAS data from onsite in-lab evaluation and 56 VAS data from virtual in-lab evaluation. We plan to recruit patients with dementia from our DH site for the restContinue reading “Group meeting on March 19, 2021”

2021/3. Proof-of-concept system turns smart speakers into contactless heart rhythm monitors 2021/2 Efficacy of Smart Speaker–Based Metamemory Training in Older Adults: Case-Control Cohort Study 2020/11. Amazon releases new Alexa features allowing families to monitor seniors living alone 2020/8. Amazon Alexa & Oral-B ink deal for voice-integrated toothbrush system 2018/6. In-Depth: Voice, independence-focused technologies drive agingContinue reading “(Related) News of Smart Speaker”

Youxiang Zhu, Xiaohui Liang, John A. Batsis, and Robert M. Roth Examination of speech datasets for detecting dementia, collected via various speech tasks, has revealed links between speech and cognitive abilities. However, the speech dataset available for this research is extremely limited because the collection process of speech and baseline data from patients with dementia in clinical settingsContinue reading “Exploring Deep Transfer Learning Techniques for Alzheimer’s Dementia Detection”

We have recruited a total of 61 patients, including 30 Healthy Controls (HC), 31 Mild Cognitive Impairments (MCI), and 1 Dementia. Our team recently have finished the following works. Xiaohui Liang, John Batsis, Youxiang Zhu, Tiffany Driesse, Robert Roth, David Kotz, and Brian MacWhinney, “Evaluating Voice-Assistant Commands for Dementia Detection.” Youxiang Zhu, Xiaohui Liang, JohnContinue reading “Research Update on March 8”