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

Artificial Intelligence (1371) Natural Language Processing (693) Chatbots and Conversational Agents (531)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40567, first published .
Automatic Assessment of Intelligibility in Noise in Parkinson Disease: Validation Study

Automatic Assessment of Intelligibility in Noise in Parkinson Disease: Validation Study

Automatic Assessment of Intelligibility in Noise in Parkinson Disease: Validation Study

Authors of this article:

Gemma Moya-Galé1 Author Orcid Image ;   Stephen J Walsh2 Author Orcid Image ;   Alireza Goudarzi3 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

Journals

  1. Avantaggiato F, Farokhniaee A, Bandini A, Palmisano C, Hanafi I, Pezzoli G, Mazzoni A, Isaias I. Intelligibility of speech in Parkinson's disease relies on anatomically segregated subthalamic beta oscillations. Neurobiology of Disease 2023;185:106239 View
  2. Khanna A, Jones G. Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies. JMIR Formative Research 2023;7:e47486 View
  3. Moya-Galé G, Pagano G, Walsh S. Perceptual consequences of online group speech treatment for individuals with Parkinson’s disease: A pilot study case series. International Journal of Speech-Language Pathology 2024:1 View
  4. Kim J. Research Trends in the Evaluation and Treatment of Speech Disorders Using Automatic Speech Recognition (ASR). Audiology and Speech Research 2024;20(4):253 View