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