Which aspects of motor speech disorder are captured by Mel Frequency Cepstral Coefficients? Evidence from the change in STN-DBS conditions in Parkinson's disease.
Vojtech IllnerPetr KrýzeJan SvihlíkMário SousaPaul KrackElina TripolitiRobert JechJan RuszPublished in: INTERSPEECH (2023)
Keyphrases
- mel frequency cepstral coefficients
- speech signal
- speaker recognition
- speaker identification
- linear predictive
- acoustic features
- speech recognition
- gaussian mixture model
- spectral features
- cepstral coefficients
- speaker verification
- principal component analysis
- deep brain stimulation
- feature vectors
- automatic speech recognition
- speaker diarization
- feature set
- extracting features
- audio features
- pattern recognition
- probabilistic neural network
- noisy environments
- spectral analysis
- audio visual
- remote sensing images
- multilayer perceptron
- feature extraction