A Neural-Network Approach for Speech Features Classification Based on Paraconsistent Logic.
Sylvio Barbon JuniorRodrigo Capobianco GuidoLucimar Sasso VieiraPublished in: ISM (2009)
Keyphrases
- neural network
- classification accuracy
- feature extraction
- feature vectors
- feature set
- feature space
- pattern recognition
- classification method
- classification process
- learning vector quantization
- machine learning
- high dimensionality
- feature selection
- svm classifier
- classification models
- spectral features
- feature values
- extracted features
- benchmark datasets
- feature weights
- pattern classification
- extracting features
- decision trees
- support vector machine
- feature representation
- features extraction
- feature maps
- feature analysis
- feature subset
- training set
- textural features
- low level
- classification algorithm
- false positives
- class labels
- feature selection algorithms
- back propagation
- support vector machine svm
- image classification
- emotion classification
- image features
- probabilistic neural network
- acoustic signals
- mel frequency cepstral coefficients
- gender classification
- multi layer perceptron
- eeg signals
- training process
- bp neural network
- neural network model
- support vector
- speech recognition
- training samples
- text classification
- artificial neural networks
- knn