Principal Component Analysis of Spectral Perturbation Parameters for Voice Pathology Detection.
Pedro GómezFrancisco Díaz PérezAgustín Álvarez MarquinaKatherine MurphyCarlos LázaroRafael MartínezMaría Victoria Rodellar BiargePublished in: CBMS (2005)
Keyphrases
- principal component analysis
- automatic detection
- detection algorithm
- principal components
- discriminant analysis
- detection accuracy
- parameter values
- dimensionality reduction
- maximum likelihood
- feature extraction
- independent component analysis
- sensitivity analysis
- change detection
- covariance matrix
- parameter estimation
- high dimensional
- feature space
- bayesian networks
- false positives
- detection method
- dimension reduction
- computer vision
- random projections
- spectral analysis
- text to speech