Unsupervised mining of under-resourced speech corpora for tone features classification.
Moses Effiong EkpenyongUdoinyang G. InyangPublished in: IJCNN (2016)
Keyphrases
- feature vectors
- classification accuracy
- feature extraction
- feature set
- classification models
- feature space
- classification process
- supervised learning
- classification method
- extracted features
- unsupervised learning
- spectral features
- unsupervised feature selection
- class labels
- feature selection
- feature analysis
- decision trees
- feature representation
- machine learning
- emotion classification
- svm classifier
- high dimensionality
- unsupervised methods
- benchmark datasets
- pattern recognition
- supervised classification
- unsupervised classification
- feature values
- speech recognition
- lexical features
- low level
- knowledge discovery
- text classification
- automatic speech recognition
- discriminative features
- support vector machine
- textural features
- eeg signals
- restricted boltzmann machine
- support vector machine svm
- feature subset
- false positives
- support vector