Fully automated assessment of the severity of Parkinson's disease from speech-Reference-Cited by-同舟云学术

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Fully automated assessment of the severity of Parkinson's disease from speech

Published:2015-01 Issue:1 Volume:29 Page:172-185
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Bayestehtashk Alireza,Asgari Meysam,Shafran Izhak,McNames James

Funder

Kinetics Foundation

NSF

Intel, Google and IBM

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference33 articles.

1. Improving the accuracy and the robustness of harmonic model for pitch estimation;Asgari,2013

2. Robust and accurate features for detecting and diagnosing autism spectrum disorders;Asgari,2013

3. Detection of persons with Parkinson's disease by acoustic, vocal, and prosodic analysis;Bocklet,2011

4. Praat Speech Processing Software. Tech. Rep.;Boersma,1995

5. Speech characteristics of patients with Parkinson's disease: I. Intensity, pitch, and duration;Canter;J. Speech Hear. Disord.,1963

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2. Syllable Level Features for Parkinson’s Disease Detection from Speech;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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4. A Visibility Graph Approach for Multi-Stage Classification of Parkinson’s Disease Using Multimodal Data;IEEE Access;2024

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