Statistical Modeling of Speech Spectral Coefficients in Patients with Parkinson's Disease.
Ina KodrasiHervé BourlardPublished in: ITG Symposium on Speech Communication (2018)
Keyphrases
- statistical modeling
- linear prediction
- linear predictive coding
- medical doctors
- multiple sclerosis
- speech signal
- early diagnosis
- statistical models
- cepstral coefficients
- patient groups
- deep brain stimulation
- speech recognition
- emergency department
- clinical studies
- cardiovascular disease
- amyotrophic lateral sclerosis
- disease progression
- diagnostic tool
- spectral features
- chronic obstructive pulmonary disease
- chronic disease
- clinically relevant
- diabetic patients
- liver disease
- spectral analysis
- predictive modeling
- lossless compression
- clinical data
- magnetic resonance images
- linear combination
- wavelet coefficients
- infectious disease
- clinical trials
- electronic medical record
- high risk
- caudate nucleus
- automatic speech recognition
- statistical model
- diabetes mellitus
- nonparametric bayesian
- subband
- medical practitioners
- hidden markov models
- diagnostic process
- cancer patients
- lung cancer patients
- medical diagnosis
- patient data
- image segmentation
- wavelet transform
- white matter
- parameter estimation
- medical practice
- disease outbreaks
- mr images
- trajectory planning
- feature selection
- medical experts
- risk factors