Research Article
Greek Folk Music Denoising Under a Symmetric α-stable Noise Assumption
@INPROCEEDINGS{10.4108/icst.qshine.2014.256282, author={Nikoletta Bassiou and Constantine Kotropoulos and Ioannis Pitas}, title={Greek Folk Music Denoising Under a Symmetric α-stable Noise Assumption}, proceedings={10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness}, publisher={IEEE}, proceedings_a={QSHINE}, year={2014}, month={9}, keywords={music denoising markov chain monte carlo overlap-and-add reconstruction greek folk music}, doi={10.4108/icst.qshine.2014.256282} }- Nikoletta Bassiou
Constantine Kotropoulos
Ioannis Pitas
Year: 2014
Greek Folk Music Denoising Under a Symmetric α-stable Noise Assumption
QSHINE
IEEE
DOI: 10.4108/icst.qshine.2014.256282
Abstract
The noise in musical audio recordings is assumed to obey an alpha-stable distribution. A sparse linear regression framework with structured priors is elaborated. Markov Chain Monte Carlo is used to infer the clean music signal model and the alpha-stable noise distribution parameters. The musical audio recordings are processed both as a whole and in segments by using a sine-bell window for analysis and overlap-and-add reconstruction. Experiments on noisy Greek folk music excerpts demonstrate better denoising under the alpha-stable noise assumption than the Gaussian white noise one, and when processing is performed in segments rather than in full recordings.
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