Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding.
Kai ZhenMi Suk LeeJongmo SungSeungkwon BeackMinje KimPublished in: IEEE Signal Process. Lett. (2020)
Keyphrases
- end to end
- loss function
- pairwise
- loss minimization
- audio signals
- learning to rank
- squared error
- support vector
- risk minimization
- rate allocation
- multimedia
- congestion control
- network architecture
- scalable video
- audio signal
- application layer
- reproducing kernel hilbert space
- computational complexity
- convex loss functions
- text localization and recognition