Repeatability of Commonly Used Speech and Language Features for Clinical Applications

Gabriela M. Stegmann; Shira Hahn; Julie Liss; Jeremy Shefner; Seward B. Rutkove; Kan Kawabata; Samarth Bhandari; Kerisa Shelton; Cayla Jessica Duncan; Visar Berisha

doi:10.1159/000511671

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Repeatability of Commonly Used Speech and Language Features for Clinical Applications

Journal article

Peer reviewed

Repeatability of Commonly Used Speech and Language Features for Clinical Applications

Gabriela M. Stegmann, Shira Hahn, Julie Liss, Jeremy Shefner, Seward B. Rutkove, Kan Kawabata, Samarth Bhandari, Kerisa Shelton, Cayla Jessica Duncan and Visar Berisha

Digital biomarkers, Vol.4(3), pp.109-122

09/01/2020

DOI: https://doi.org/10.1159/000511671

PMID: 33442573

Abstract

Automatic speech analysis

Digital biomarkers

Mobile technology

Repeatability

Speech

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Title: Repeatability of Commonly Used Speech and Language Features for Clinical Applications
Creators: Gabriela M. Stegmann - Arizona State University
Shira Hahn - Arizona State University
Julie Liss - Arizona State University
Jeremy Shefner - Barrow Neurological Institute
Seward B. Rutkove - Harvard University
Kan Kawabata - Arizona State University
Samarth Bhandari - Arizona State University
Kerisa Shelton - Barrow Neurological Institute
Cayla Jessica Duncan - Barrow Neurological Institute
Visar Berisha - Arizona State University
Publication Details: Digital biomarkers, Vol.4(3), pp.109-122
Number of pages: 14
Grant note: NSF SBIR 1R43DC017625-01 / NIH SBIR 1853247 / National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001) 5R01DC006859-13 / National Institutes of Health (http://data.elsevier.com/vocabulary/SciValFunders/100000002)
Identifiers: 991006262252702656
Academic Unit: Neurology
Language: English
Resource Type: Journal article