Automatic detection of Parkinson’s disease Using Zero-Time Window based cepstral feature
Author:
Affiliation:
1. IIIT-Hyderabad,Speech Processing Lab, LTRC,Hyderabad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10440722/10440669/10440850.pdf?arnumber=10440850
Reference12 articles.
1. Parkinson’s detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition
2. Parkinson’s Disease: Pathogenesis and Clinical Aspects
3. How language flows when movements don’t: An automated analysis of spontaneous discourse in Parkinson’s disease
4. Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice
5. Distinct patterns of imprecise consonant articulation among Parkinson’s disease, progressive supranuclear palsy and multiple system atrophy
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