Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients.
Juan Camilo Vásquez-CorreaTobias BockletJuan Rafael Orozco-ArroyaveElmar NöthPublished in: ICASSP (2020)
Keyphrases
- user model
- gaussian mixture model
- user modeling
- user modelling
- speaker recognition
- feature vectors
- medical doctors
- emergency department
- speaker identification
- deep brain stimulation
- chronic obstructive pulmonary disease
- multiple sclerosis
- early diagnosis
- recommender systems
- speech recognition
- user profiles
- voice activity detection
- chronic disease
- domain independent
- clinical studies
- individual user
- post treatment
- patient groups
- liver disease
- disease progression
- user interests
- diagnostic tool
- diabetic patients
- mixture model
- character recognition
- cardiovascular disease
- feature space
- clinical trials