Audio Denoising by Generalized Time-Frequency Thresholding

Siedenburg K, Dörfler M. Audio Denoising by Generalized Time-Frequency Thresholding. In: AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio. Audio Engineering Society; 2012.pp. 5-2:1-10. Available from: https://aes.org/publications/elibrary-page/?id=16182

@inproceedings{Siedenburg2012_16182,
  author = {Siedenburg, Kai and Dörfler, Monika},
  title = {{Audio Denoising by Generalized Time-Frequency Thresholding}},
  booktitle = {AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio},
  pages = {5-2:1-10},
  year = {2012},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16182}
}

TY  - CPAPER
TI  - Audio Denoising by Generalized Time-Frequency Thresholding
AU  - Siedenburg, Kai
AU  - Dörfler, Monika
T2  - AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio
SP  - 1
EP  - 10
M1  - Paper 5-2
PY  - 2012
DA  - 2012/03/06
UR  - https://aes.org/publications/elibrary-page/?id=16182
PB  - Audio Engineering Society
LA  - en
AB  - This paper considers the denoising problem from the viewpoint of sparse atomic representation. A general framework of time-frequency soft-thresholding is proposed which encompasses and connects well-known shrinkage operators as special cases. In particular, the groundbreaking idea of exploiting signal sparsity in the framework of redundant representations is extended to incorporate knowledge about structural properties of the observed signals. Convergence of the corresponding algorithms is numerically evaluated and their performance in denoising real-life audio signals is compared to the results of similar existing approaches. The novel approach is competitive with respect to signal to noise ratio and improves the state of the art in terms of perceptual criteria.
ER  -