End-to-end spoken language understanding using transformer networks and self-supervised pre-trained features.
Edmilson da Silva MoraisHong-Kwang Jeff KuoSamuel ThomasZoltán TüskeBrian KingsburyPublished in: CoRR (2020)
Keyphrases
- end to end
- spoken language
- high bandwidth
- pre trained
- internet protocol
- wireless ad hoc networks
- feature extraction
- congestion control
- feature vectors
- low level
- admission control
- training examples
- co occurrence
- semantic analysis
- prior knowledge
- information retrieval
- real time
- feature set
- feature space
- differentiated services
- data sets