Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease.
Juan Camilo Vásquez-CorreaNicanor García-OspinaJuan Rafael Orozco-ArroyaveMilos CernakElmar NöthPublished in: TSD (2018)
Keyphrases
- multiple sclerosis
- medical doctors
- early diagnosis
- text to speech synthesis
- patient groups
- emergency department
- amyotrophic lateral sclerosis
- deep brain stimulation
- cognitive impairment
- clinical studies
- cardiovascular disease
- clinically relevant
- disease progression
- diagnostic tool
- chronic disease
- chronic obstructive pulmonary disease
- liver disease
- diabetic patients
- speech recognition
- clinical data
- speech signal
- recurrent neural networks
- computer aided
- audio visual
- patient data
- medical practitioners
- colorectal cancer
- age related
- cancer patients
- disease diagnosis
- high risk
- bayesian inference
- magnetic resonance images
- text to speech
- white matter
- intraoperative
- diabetes mellitus
- medical treatment
- low grade gliomas
- posterior probability
- caudate nucleus
- medical diagnosis
- lung cancer patients
- infectious disease
- feed forward
- older adults
- medical data
- breast cancer patients
- medical practice
- pixel wise
- medical records