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Sparse vector autoregressive modeling of audio signals and its application to the elimination of impulsive disturbances
Abstract
Archive audio files are often corrupted by impulsive disturbances, such as clicks, pops and record scratches. This paper presents a new method for elimination of impulsive disturbances from stereo audio signals. The proposed approach is based on a sparse vector autoregressive signal model, made up of two components: one taking care of short-term signal correlations, and the other one taking care of long-term correlations. The method is evaluated on a set of clean audio signals contaminated with real click waveforms extracted from silent parts of old gramophone recordings.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 17th IFAC Symposium on System Identification SYSID 2015 : IFAC-PapersOnLine, vol. 48, iss.28 strony 1208 - 1213
- ISSN:
- 2405-8963
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Niedźwiecki M., Ciołek M.: Sparse vector autoregressive modeling of audio signals and its application to the elimination of impulsive disturbances// 17th IFAC Symposium on System Identification SYSID 2015 : IFAC-PapersOnLine, vol. 48, iss.28/ : , 2015, s.1208-1213
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.ifacol.2015.12.296
- Verified by:
- Gdańsk University of Technology
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