A Comparative Study of Machine Learning Classifiers for Speaker's Accent Recognition.
Hasibul Hasan SabujPaul Richie GomesKazi Ehsanul MubinAkram HossainSamin Yeasar SeaumMd Tanzim RezaMd. Golam Rabiul AlamPublished in: AIIoT (2023)
Keyphrases
- machine learning
- speech recognition
- machine learning algorithms
- pattern recognition
- machine learning methods
- decision trees
- supervised classification
- machine learning approaches
- recognition rate
- feature selection
- object recognition
- recognition accuracy
- training data
- learning algorithm
- computer vision
- speaker independent
- improve recognition accuracy
- character recognition
- noisy environments
- speaker verification
- speaker recognition
- handwritten digit recognition
- data mining
- support vector
- training set
- unsupervised learning
- test set
- learning tasks
- inductive learning
- text classification
- speaker identification
- automatic speech recognition
- recognition process
- natural language processing
- feature extraction
- natural language
- active learning
- multiple classifier systems
- classifier combination
- hidden markov models
- information extraction
- naive bayes
- model selection
- svm classifier
- semi supervised learning
- action recognition
- training samples
- training examples