Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction.
Biswajit KaranSitanshu Sekhar SahuJuan Rafael Orozco-ArroyaveKartik MahtoPublished in: Comput. Speech Lang. (2021)
Keyphrases
- negative matrix factorization
- feature extraction
- frequency domain
- signal analysis
- principal component analysis
- signal processing
- sparse representation
- nonnegative matrix factorization
- wavelet transform
- matrix factorization
- document clustering
- blind source separation
- image classification
- face recognition
- pattern recognition
- feature space
- constrained least squares
- dimensionality reduction
- feature vectors
- tensor factorization
- feature selection
- data sets
- hilbert transform
- short time fourier transform
- image processing
- spectral clustering
- empirical mode decomposition
- independent component analysis
- clustering algorithm
- information retrieval
- machine learning