Phase II update

We have successfully recruited 32 older adults for our Phase II evaluation. 13 participants (5 healthy, 8 mild cognitive impairment) chose Pathway 1, i.e., performing seven sessions once every three months + home data tracking 19 participants (10 healthy, 9 mild cognitive impairment) chose Pathway 2, i.e., performing seven sessions only once every three monthsContinue reading “Phase II update”

Patient Perceptions of Using Voice-Based Dietary Assessment Tools Among Older Adults

Tiffany M. Driesse, Xiaohui Liang, Michael Fowler, Jing Yuan, and John A. Batsis Background: Poor diet among older adults is a risk factor for developing multiple chronic diseases. Dietary recall comprises an important component in intervention research and clinical care. Commonly used tools include the web-based automated self-administered 24-hour assessment (ASA-24). Yet voice assistant (VAS)Continue reading “Patient Perceptions of Using Voice-Based Dietary Assessment Tools Among Older Adults”

Domain-aware Intermediate Pretraining for Dementia Detection with Limited Data

Youxiang Zhu, Xiaohui Liang, John A. Batsis, and Robert M. Roth Detecting dementia using human speech is promising but faces a limited data challenge. While recent research has shown general pretrained models (e.g., BERT) can be applied to improve dementia detection, the pretrained model can hardly be fine-tuned with the available small dementia dataset asContinue reading “Domain-aware Intermediate Pretraining for Dementia Detection with Limited Data”

Two papers accepted by “IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)” 2022

Our two papers have been accepted by IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) 2022 Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning, Youxiang Zhu, Bang Tran, Xiaohui Liang, John A. Batsis (University of North Carolina), Robert M. Roth (Dartmouth) Speech Tasks Relevant to Sleepiness Determined with Deep Transfer Learning, BangContinue reading “Two papers accepted by “IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)” 2022″

Speech Tasks Relevant to Sleepiness Determined with Deep Transfer Learning

Bang Tran, Youxiang Zhu, Xiaohui Liang, James W. Schwoebel, Lindsay A. Warrenburg Excessive sleepiness in attention-critical contexts can lead to adverse events, such as car crashes. Detecting and monitoring sleepiness can help prevent these adverse events from happening. In this paper, we use the Voiceome dataset to extract speech from 1,828 participants to develop aContinue reading “Speech Tasks Relevant to Sleepiness Determined with Deep Transfer Learning”

Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning

Youxiang Zhu, Bang Tran, Xiaohui Liang, John A. Batsis, Robert M. Roth Speech pause is an effective biomarker in dementia detection. Recent deep learning models have exploited speech pauses to achieve highly accurate dementia detection, but have not exploited the interpretability of speech pauses, i.e., what and how positions and lengths of speech pauses affectContinue reading “Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning”

“Evaluating Voice-Assistant Commands for Dementia Detection” has been accepted by Computer Speech & Language

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”

Xiaohui is organizing Symposium on e-Health at IEEE International Conference on Communications (ICC) 2022

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”