Lecture on optimization-based audio reconstruction, in particular audio inpainting based upon sparsity.
The repository contains the slides and accompanying audio examples.
The audio examples can also be played from the GitHub page here.
- What do we mean by damaged audio signals
- Optimization-based restoration
- Generic scheme
- Inverse problems more formally
- Sparse representations
- ... in audio
- Algorithms
- Other approaches and signal models
- Social sparsity
- Autoregressive modeling
- Matrix factorization
- On the computational complexity and evaluation
- Future research