Papers by Rhoda Au
Detecting Dementia from Long Neuropsychological Interviews (2022.findings-emnlp)
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| Challenge: | Recent studies suggest examiner's language can influence cognitive impairment classifications. |
| Approach: | They propose a three-stage pipeline to detect dementia from exam recordings to mitigate the influence of the examiner on automatic dementia identification decisions. |
| Outcome: | The proposed pipeline mitigates the influence of the examiner on automatic dementia identification decisions in real-world neuropsychological exams. |
Role-specific Language Models for Processing Recorded Neuropsychological Exams (N18-2)
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| Challenge: | Neuropsychological examinations are an important screening tool for the presence of cognitive conditions such as Alzheimer's, Parkinson's and spinal-cord injuries. |
| Approach: | They propose to use audio recordings to determine the cognitive health of 92 subjects from audio that was diarized using an automatic speech recognition system trained on TED talks and on structured language used by testers and subjects. |
| Outcome: | The proposed method can determine the cognitive health of 92 subjects from audio that was diarized using an automatic speech recognition system trained on TED talks and on the structured language used by testers and subjects. |