PCA of perturbation parameters in voice pathology detection.
Pedro GómezFrancisco Díaz PérezAgustín Álvarez MarquinaRafael MartínezVictoria RodellarRoberto Fernández-BaílloAlberto NietoFrancisco J. FernandezPublished in: INTERSPEECH (2005)
Keyphrases
- principal component analysis
- object detection
- automatic detection
- detection accuracy
- detection method
- parameter settings
- principal components analysis
- feature space
- anomaly detection
- parameter estimation
- video data
- emotion recognition
- false positives
- detection rate
- negative matrix factorization
- input parameters
- measured data
- principal components
- data sets
- covariance matrix
- detection algorithm
- maximum likelihood
- probabilistic model
- k means
- image sequences
- genetic algorithm
- machine learning