Vowel classification with combining pitch detection and one-dimensional convolutional neural network based classifier for gender identification.
Chia-Hung LinHsiang-Yueh LaiPing-Tzan HuangPi-Yun ChenChien-Ming LiPublished in: IET Signal Process. (2023)
Keyphrases
- classification method
- classification scheme
- classification process
- classification algorithm
- decision trees
- support vector
- combining classifiers
- class labels
- support vector machine
- feature selection
- classification rate
- feature set
- feature extraction and classification
- nearest neighbor classifier
- multiple classifier systems
- final classification
- feature space
- training samples
- neural network
- learning vector quantization
- support vector machine classifier
- svm classifier
- multiple classifiers
- training set
- neyman pearson
- k nearest neighbour
- classification models
- spam detection
- automatic classification
- bayesian classifier
- classifier combination
- detection method
- detection algorithm
- naive bayes
- object detection
- classification accuracy
- multi category
- probabilistic classifiers
- multiclass classification
- classifier ensemble
- fold cross validation
- boosted classifiers
- false negative
- cost sensitive
- pattern recognition
- pattern classification
- detection rate
- machine learning
- binary classifiers
- face recognition
- training data
- high classification accuracy
- supervised learning
- image classification
- decision tree classifiers
- discriminative classifiers
- false positives
- discriminative learning
- decision boundary
- support vector machine svm
- individual classifiers
- multi class
- sparse coding
- higher classification accuracy
- feature extraction
- extracted features