An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning.
Heitor R. GuimarãesArthur PimentelAnderson R. AvilaMehdi RezagholizadehBoxing ChenTiago H. FalkPublished in: CoRR (2024)
Keyphrases
- end to end
- multi task learning
- multi task
- feature extraction
- image features
- learning tasks
- congestion control
- feature vectors
- learning models
- multitask learning
- learning algorithm
- gaussian processes
- video sequences
- inductive learning
- learning problems
- noise level
- missing data
- theoretical analysis
- feature set
- decision trees