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We present a method for restoration of audio which has been distorted by a nonlinear channel or recording medium. We model the signal as a linear process cascaded with a nonlinear distortion. We use sampling methods to perform model selection and parameter estimation. We allow the linear model to be nonstationary, and present results for both synthetic and real distortions.
Author (s): Troughton, Paul T.; Godsill, Simon J.
Affiliation:
University of Cambridge, Cambridge, UK
(See document for exact affiliation information.)
AES Convention: 104
Paper Number:4679
Publication Date:
1998-05-06
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Session subject:
Recording Restoration and Enhancement
Permalink: https://aes2.org/publications/elibrary-page/?id=8501
(580KB)
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Troughton, Paul T.; Godsill, Simon J.; 1998; Restoration of Nonlinearly Distorted Audio Using Markov Chain Monte Carlo Methods [PDF]; University of Cambridge, Cambridge, UK; Paper 4679; Available from: https://aes2.org/publications/elibrary-page/?id=8501
Troughton, Paul T.; Godsill, Simon J.; Restoration of Nonlinearly Distorted Audio Using Markov Chain Monte Carlo Methods [PDF]; University of Cambridge, Cambridge, UK; Paper 4679; 1998 Available: https://aes2.org/publications/elibrary-page/?id=8501