Citation:
J. R. Williamson, T. F. Quatieri, B. S. Helfer, G. Ciccarelli, and D. D. Mehta, “Segment-dependent dynamics in predicting Parkinson’s disease,” Proceedings of InterSpeech, pp. 518-522, 2015.
 | Paper | 333 KB |
Daryush D. Mehta, PhD
Clinical voice and speech science and technology
Filter by
Publication Type
- Abstracts, Posters, Presentations (24)Apply Abstracts, Posters, Presentations filter
- Conference Papers (22)Apply Conference Papers filter
- Other (Peer-Reviewed) (4)Apply Other (Peer-Reviewed) filter
- Research Investigations (Peer-Reviewed) (52)Apply Research Investigations (Peer-Reviewed) filter
- Reviews, Chapters, etc. (10)Apply Reviews, Chapters, etc. filter
- Theses (2)Apply Theses filter
Research Area
- Ambulatory Voice Monitoring (41)Apply Ambulatory Voice Monitoring filter
- General Voice Assessment (24)Apply General Voice Assessment filter
- High-Speed Video (36)Apply High-Speed Video filter
- Machine Learning (17)Apply Machine Learning filter
- Neurological Disorder Assessment (8)Apply Neurological Disorder Assessment filter
- Optical Coherence Tomography (6)Apply Optical Coherence Tomography filter
- Source/Filter Estimation (38)Apply Source/Filter Estimation filter
- Stroboscopy (7)Apply Stroboscopy filter