Phone classification with segmental features and a binary-pair partitioned neural network classifier.
Stephen A. ZahorianPeter L. SilsbeeXihong WangPublished in: ICASSP (1997)
Keyphrases
- feature set
- classification process
- classification method
- svm classifier
- feature space
- extracted features
- neural network
- learning vector quantization
- classification accuracy
- classification models
- class labels
- feature reduction
- binary classifiers
- feature vectors
- feature values
- feature extraction
- pattern recognition
- support vector machine
- classification scheme
- input features
- classification rate
- final classification
- feature selection
- binary features
- supervised classifiers
- multiple classifiers
- classification algorithm
- fuzzy classifier
- feature subset
- classification decisions
- decision tree classifiers
- naive bayes classifier
- training process
- bayesian classifier
- feature extraction and classification
- support vector
- weak classifiers
- svm classification
- train a support vector machine
- feature maps
- classifier combination
- feature selection algorithms
- decision trees
- classification schemes
- support vector machine classifier
- feature histograms
- multi layer perceptron
- weak learners
- input vectors
- binary decision tree
- discriminative classifiers
- binary classification problems
- ensemble classifier
- training set
- artificial neural networks
- image classification
- support vector machine svm
- naive bayes
- pattern classification
- roc curve
- multiple kernel learning
- semi supervised
- machine learning
- knn
- multi class
- nearest neighbor classifier
- training examples
- false positives
- training samples
- supervised learning
- decision boundary
- lexical features
- multi class svm
- nearest neighbour
- pairwise
- classifier ensemble
- probabilistic neural network