Using Human Factor Cepstral Coefficient on Multiple Types of Voice Recordings for Detecting Patients with Parkinson's Disease

Title
Using Human Factor Cepstral Coefficient on Multiple Types of Voice Recordings for Detecting Patients with Parkinson's Disease
Authors
Keywords
Voice analysis, Parkinson's disease, Acoustic features, Human factor cepstral coefficient, Leave one subject out, Support vector machines
Journal
IRBM
Volume 38, Issue 6, Pages 346-351
Publisher
Elsevier BV
Online
2017-10-19
DOI
10.1016/j.irbm.2017.10.002

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started