Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques.
Jefferson S. AlmeidaPedro Pedrosa Rebouças FilhoTiago CarneiroWei WeiRobertas DamaseviciusRytis MaskeliunasVictor Hugo C. de AlbuquerquePublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- speech signal
- speech recognition
- automatic speech recognition systems
- automatic speech recognition
- background noise
- noisy environments
- hidden markov models
- vocal tract
- linear prediction
- additive noise
- spectral analysis
- non stationary
- sound source
- blind source separation
- adaptive filtering
- speech enhancement
- speech sounds
- image coding
- brain activity
- multi modal
- speech quality
- sound signals
- computer vision