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Elimination of Impulsive Disturbances From Stereo Audio Recordings Using Vector Autoregressive Modeling and Variable-order Kalman Filtering
Abstract
This paper presents a new approach to elimination of impulsive disturbances from stereo audio recordings. The proposed solution is based on vector autoregressive modeling of audio signals. Online tracking of signal model parameters is performed using the exponential ly weighted least squares algo- rithm. Detection of noise pulses an d model-based interpolation of the irrevocably distorted sampl es is realized using an adaptive, variable-order Kalman filter. The proposed approach is evalu- ated on a set of clean audio signals contaminated with real click waveforms extracted from old gramophone recordings
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/taslp.2015.2414823
- License
- Copyright (2015 IEEE)
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IEEE Transactions on Audio Speech and Language Processing
no. 23,
edition 6,
pages 970 - 981,
ISSN: 1558-7916 - Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Niedźwiecki M., Ciołek M., Cisowski K.: Elimination of Impulsive Disturbances From Stereo Audio Recordings Using Vector Autoregressive Modeling and Variable-order Kalman Filtering// IEEE Transactions on Audio Speech and Language Processing. -Vol. 23, iss. 6 (2015), s.970-981
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/taslp.2015.2414823
- Verified by:
- Gdańsk University of Technology
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