Boosting speech recognition performance: a robust and accurate ensemble method based on HMMs.
Samira HazmouneFateh BougamouzaSmaine MazouziMohamed BenmohammedPublished in: Int. J. Intell. Syst. Technol. Appl. (2024)
Keyphrases
- speech recognition
- ensemble methods
- hidden markov models
- noisy environments
- ensemble learning
- base classifiers
- prediction accuracy
- benchmark datasets
- random forests
- machine learning methods
- decision trees
- speech synthesis
- rotation forest
- random forest
- speech signal
- language model
- speech recognizer
- automatic speech recognition
- pattern recognition
- base learners
- ensemble classifier
- handwriting recognition
- speech recognition systems
- speech recognition technology
- speaker identification
- gaussian mixture model
- subspace methods
- machine learning
- speaker dependent
- cost sensitive
- multi class
- evolutionary algorithm
- feature vectors
- training data
- face recognition
- image processing
- computer vision
- genetic algorithm
- speaker independent
- neural network