Features extraction for the automatic detection of ALS disease from acoustic speech signals.
Maxim VashkevichElias AzarovAlexander PetrovskyYuliya RushkevichPublished in: SPA (2018)
Keyphrases
- automatic detection
- features extraction
- speech signal
- speech sounds
- acoustic features
- automatic classification
- sound source
- speech recognition
- noisy speech
- diabetic retinopathy
- automatic speech recognition
- formant frequencies
- non stationary
- feature extraction
- vocal tract
- linear prediction
- wavelet transform
- automatic speech recognition systems
- hidden markov models
- noisy environments
- background noise
- speech enhancement
- sound signals
- feature vectors
- high quality
- neural network
- machine learning
- feature selection
- face recognition
- video sequences
- pattern recognition
- face images