Feature selection in affective speech classification.
Anguel ManolovOgnian BoumbarovAgata ManolovaVladimir PoulkovKrasimir TonchevPublished in: TSP (2017)
Keyphrases
- feature selection
- classification accuracy
- feature extraction
- support vector
- classification models
- machine learning
- text classification
- high dimensionality
- support vector machine
- feature space
- feature set
- emotion recognition
- feature subset selection
- feature selection algorithms
- mutual information
- pattern recognition
- discriminative features
- decision trees
- feature reduction
- instance selection
- method for feature selection
- class labels
- support vector machine svm
- text categorization
- classification performances
- class separability
- audio visual
- web page classification
- irrelevant features
- unsupervised learning
- accurate classification
- face recognition
- speech recognition
- hidden markov models
- bayes classifier
- small sample
- model selection
- human computer interaction
- feature weighting
- classification rate
- information gain
- machine learning algorithms
- classification method