Meta Learning for End-To-End Low-Resource Speech Recognition.
Jui-Yang HsuYuan-Jui ChenHung-yi LeePublished in: ICASSP (2020)
Keyphrases
- end to end
- speech recognition
- meta learning
- learning tasks
- inductive learning
- speech synthesis
- model selection
- hidden markov models
- speech signal
- language model
- speech recognition systems
- speech recognizer
- pattern recognition
- machine learning algorithms
- decision trees
- automatic speech recognition
- feature selection
- machine learning
- data mining
- data sets
- transfer learning
- image processing
- metamodel
- base classifiers
- artificial intelligence