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Found 9 papers, 0 papers with code
Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling
There is growing evidence that changes in speech and language may be early markers of dementia, but much of the previous NLP work in this area has been limited by the size of the available datasets.
The importance of sharing patient-generated clinical speech and language data
Increased access to large datasets has driven progress in NLP.
Temporal Analysis of the Semantic Verbal Fluency Task in Persons with Subjective and Mild Cognitive Impairment
Persons with subjective cognitive impairment had a higher word count during the last intervals, but produced words of the same lexical frequencies.
Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia
Specifically, we show that subjects with MCI rely less on semantic- and more on phonemic processes to guide their word production as compared to healthy controls (HC).
Multilingual Learning for Mild Cognitive Impairment Screening from a Clinical Speech Task
The Semantic Verbal Fluency Task (SVF) is an efficient and minimally invasive speech-based screening tool for Mild Cognitive Impairment (MCI).
Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error
Training classification models on clinical speech is a time-saving and effective solution for many healthcare challenges, such as screening for Alzheimer’s Disease over the phone.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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