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: CoRR (2020)
Keyphrases
- user model
- user modelling
- user modeling
- speaker recognition
- gaussian mixture model
- speaker identification
- feature vectors
- multiple sclerosis
- user interests
- emergency department
- recommender systems
- diagnostic tool
- domain independent
- speech recognition
- medical doctors
- voice activity detection
- clinical studies
- adaptive systems
- disease progression
- post treatment
- amyotrophic lateral sclerosis
- early diagnosis
- chronic disease
- cardiovascular disease
- automatic speech recognition
- user profiles
- individual user
- liver disease
- user interaction
- chronic obstructive pulmonary disease
- gait analysis
- infectious disease
- clinical trials
- gait recognition
- speech signal
- background subtraction
- patient groups
- em algorithm