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Visar Berisha and Julie Liss: Automated Speech Analysis to Evaluate Brain Function and Disease
Manage episode 441575880 series 3558288
Το περιεχόμενο παρέχεται από το Mark Mattson. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Mark Mattson ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
Arizona State University Professors Visar Berisha and Julie Liss have combined their expertise in engineering and speech communication to develop and apply novel automated speech analysis technology to the field of neurological disorders. Because of the complexity of human speech and the brain circuits involved speech analysis can provide a window into multiple domains of brain function. In this episode they talk about their research and how speech analysis can be used as a tool for cross sectional and longitudinal studies of people with or a risk for brain dysfunction. Their published findings range from studies of NFL football players to patients with ALS or a mental disorder. Automated speech analysis may prove useful in the early diagnosis of neurodegenerative disorders and for evaluation of the efficacy of treatments.
LINKS
Review article on automated speech analysis and its applications
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074691/pdf/nihms-1062578.pdf
Study of NFL players
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6939664/pdf/nihms-861058.pdf
Early diagnosis of ALS https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555482/pdf/41746_2020_Article_335.pdf
Assessment of mental health
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031731/pdf/sbac176.pdf
Potential for early diagnosis of Alzheimer’s disease
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6922000/pdf/nihms-1062581.pdf
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