Exploring Non-Autoregressive End-to-End Neural Modeling for English Mispronunciation Detection and Diagnosis.
Hsin-Wei WangBi-Cheng YanHsuan-Sheng ChiuYung-Chang HsuBerlin ChenPublished in: ICASSP (2022)
Keyphrases
- end to end
- autoregressive
- text localization and recognition
- moving average
- non stationary
- admission control
- random fields
- gaussian markov random field
- random field models
- neural network
- congestion control
- network architecture
- application layer
- sar images
- natural language
- higher order
- transport layer
- scalable video
- real world
- image processing
- feature extraction
- artificial neural networks
- hidden markov models
- gray level