Feature reduction using PCA with multi-condition training for practical speech recognition systems.
Yudai KanedaNoboru HayasakaYouji IiguniPublished in: ISCIT (2012)
Keyphrases
- feature reduction
- speech recognition systems
- rough sets
- text categorization
- principal component analysis
- random forest
- speech recognition
- feature selection
- reduction method
- feature set
- texture segmentation
- linear discriminant analysis
- classification accuracy
- k nearest neighbor
- support vector machine
- knn
- training set
- viterbi algorithm
- rough set theory
- data mining
- supervised learning
- multiresolution
- classification algorithm
- dimensionality reduction
- information extraction
- pattern recognition
- feature extraction
- neural network