Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech.
Tomas Arias-VergaraJuan Camilo Vásquez-CorreaJuan Rafael Orozco-ArroyaveJesús Francisco Vargas-BonillaTino HaderleinElmar NöthPublished in: ITG Symposium on Speech Communication (2016)
Keyphrases
- disease progression
- speaker recognition
- gaussian mixture model
- speaker identification
- voice activity detection
- particle filter
- speech recognition
- particle filtering
- speech signal
- blood vessels
- cross sectional
- prostate cancer
- computer vision
- clinical trials
- breast cancer
- computer aided
- mathematical modeling
- fully automatic
- management system
- decision trees