This paper is in the following e-collection/theme issue:

Mental Health Issues in Elderly Patients and Geriatric Psychiatry (88) Machine Learning (1465) Diagnostic Tools in Mental Health (242) Dementia and Cognitive Decline (481) Natural Language Processing (692) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 5, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33460, first published .
Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Authors of this article:

Thomas Soroski1 Author Orcid Image ;   Thiago da Cunha Vasco2 Author Orcid Image ;   Sally Newton-Mason1 Author Orcid Image ;   Saffrin Granby2 Author Orcid Image ;   Caitlin Lewis1 Author Orcid Image ;   Anuj Harisinghani2 Author Orcid Image ;   Matteo Rizzo2 Author Orcid Image ;   Cristina Conati2 Author Orcid Image ;   Gabriel Murray3 Author Orcid Image ;   Giuseppe Carenini2 Author Orcid Image ;   Thalia S Field1 Author Orcid Image ;   Hyeju Jang2 Author Orcid Image
Article Authors Cited by (7) Tweetations (5) Metrics

Journals

  1. Farajzadeh N, Sadeghzadeh N, Ijaz M. NSSI questionnaires revisited: A data mining approach to shorten the NSSI questionnaires. PLOS ONE 2023;18(4):e0284588 View
  2. Hamrick P, Sanborn V, Ostrand R, Gunstad J. Lexical Speech Features of Spontaneous Speech in Older Persons With and Without Cognitive Impairment: Reliability Analysis. JMIR Aging 2023;6:e46483 View
  3. Tang L, Zhang Z, Feng F, Yang L, Li H. Explainable Alzheimer’s Disease Detection Using Linguistic Features from Automatic Speech Recognition. Dementia and Geriatric Cognitive Disorders 2023;52(4):240 View
  4. Al-Hammadi M, Fleyeh H, Åberg A, Halvorsen K, Thomas I. Machine Learning Approaches for Dementia Detection Through Speech and Gait Analysis: A Systematic Literature Review. Journal of Alzheimer's Disease 2024;100(1):1 View
  5. Gao H, Schneider S, Hernandez R, Harris J, Maupin D, Junghaenel D, Kapteyn A, Stone A, Zelinski E, Meijer E, Lee P, Orriens B, Jin H. Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Validation. JMIR Formative Research 2024;8:e54335 View
  6. König A, Köhler S, Tröger J, Düzel E, Glanz W, Butryn M, Mallick E, Priller J, Altenstein S, Spottke A, Kimmich O, Falkenburger B, Osterrath A, Wiltfang J, Bartels C, Kilimann I, Laske C, Munk M, Roeske S, Frommann I, Hoffmann D, Jessen F, Wagner M, Linz N, Teipel S. Automated remote speech‐based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2024;16(4) View
  7. Ding K, Chetty M, Noori Hoshyar A, Bhattacharya T, Klein B. Speech based detection of Alzheimer’s disease: a survey of AI techniques, datasets and challenges. Artificial Intelligence Review 2024;57(12) View