Finer-grained Modeling units-based Meta-Learning for Low-resource Tibetan Speech Recognition.
Siqing QinLongbiao WangSheng LiYuqin LinJianwu DangPublished in: INTERSPEECH (2022)
Keyphrases
- speech recognition
- meta learning
- finer grained
- inductive learning
- hidden markov models
- learning tasks
- pattern recognition
- speech signal
- language model
- machine learning algorithms
- model selection
- speech recognition systems
- decision trees
- feature selection
- machine learning
- object level
- artificial intelligence
- high resolution
- data sets
- markov random field
- classification accuracy
- data mining