Analyzing Training Dependencies and Posterior Fusion in Discriminant Classification of Apnea Patients Based on Sustained and Connected Speech.
José Luis Blanco MurilloRubén Fernández PozoDoroteo Torre ToledanoJavier CamineroEduardo LópezPublished in: INTERSPEECH (2011)
Keyphrases
- training set
- obstructive sleep apnea
- feature extraction
- supervised learning
- sleep apnea
- training samples
- pattern recognition
- training phase
- classification accuracy
- pattern classification
- text classification
- lung disease
- training process
- hearing impaired
- feature selection
- class probabilities
- speech recognition
- feature vectors
- decision trees
- support vector machine svm
- probability distribution
- feature space
- support vector