Clipping, also known as saturation, is a comon phenomenon leading to sometimes seriously distorted audio recordings. Declipping consists in performing the inverse process, to restore saturated audio recordings and improve their quality.
Declipped signal using A-SPADE
SPADE, the SParse Audio DEclipper
SPADE is a declipping algorithm developed by PANAMA (a joint project-team between INRIA and CNRS). It is based on on the expression of declipping as a linear inverse problem and the use of analysis (A-SPADE) or synthesis (S-SPADE) sparse regularization in the time-frequency domain.
To the best of our knowledge SPADE achieves state-of-the-art declipping quality.
- S. Kitic, N. Bertin and R. Gribonval. Sparsity and cosparsity for audio declipping: a flexible non-convex approach. In Latent Variable Analysis and Signal Separation, Liberec, 2015.
- S. Kitic, N. Bertin and R. Gribonval. Audio Declipping by Cosparse Hard Thresholding. In iTwist – 2nd international – Traveling Workshop on Interactions between Sparse models and Technology, Namur, 2014.