An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition.
Chao-Han Huck YangI-Fan ChenAndreas StolckeSabato Marco SiniscalchiChin-Hui LeePublished in: CoRR (2022)
Keyphrases
- end to end
- speech recognition
- ensemble learning
- hidden markov models
- ensemble methods
- generalization ability
- language model
- speech signal
- pattern recognition
- random forest
- speech recognition systems
- feature selection
- concept drift
- learning process
- prediction accuracy
- base classifiers
- data sets
- error rate
- decision trees
- learning algorithm
- information retrieval
- neural network