Automatic Detection of Parkinson's Disease from Speech Using Acoustic, Prosodic and Phonetic Features.
Rania KhaskhoussyYassine Ben AyedPublished in: ISDA (2019)
Keyphrases
- automatic detection
- speech recognition
- speech recognition systems
- emotional speech
- speech segments
- prosodic features
- speaker independent
- speech sounds
- emotion recognition
- automatically detecting
- automatic speech recognition
- hidden markov models
- emotion classification
- text to speech
- speech recognizer
- speech synthesis
- mel frequency cepstral coefficients
- diabetic retinopathy
- language model
- feature set
- acoustic models
- feature vectors
- spoken language
- speech signal
- spoken term detection