A Deep Convolutional Autoencoder-Based Approach for Parkinson's Disease Diagnosis Through Speech Signals.
Rania KhaskhoussyYassine Ben AyedPublished in: ADMA (1) (2022)
Keyphrases
- disease diagnosis
- speech signal
- deep learning
- restricted boltzmann machine
- speech recognition
- automatic speech recognition
- noisy environments
- deep belief networks
- comparative analysis
- automatic speech recognition systems
- non stationary
- linear prediction
- vocal tract
- blind source separation
- background noise
- hidden markov models
- speech enhancement
- sound signals
- neural network
- sound source
- noisy images
- speech quality
- natural images
- expert systems
- information retrieval