Renovation of archive audio recordings using sparse autoregressive modeling and bidirectional processing

Author

Niedzwiecki, Maciej ; Ciolek, Marcin

Author_Institution

Dept. of Autom. Control, Gdansk Univ. of Technol., Gdańsk, Poland

fYear

2013

Firstpage

5949

Lastpage

5953

Abstract

The paper presents a new approach to elimination of broadband noise and impulsive disturbances from archive audio recordings. The proposed adaptive Kalman-like algorithm, based on a sparse autoregressive model of the audio signal, simultaneously detects noise pulses, interpolates the irrevocably distorted samples and performs signal smoothing. It is shown that bidirectional (forward-backward) processing of the archive signal improves smoothing efficiency and allows one to localize noise pulses more accurately, leading to noticeable performance improvements compared to unidirectional processing.

Keywords

Kalman filters; adaptive filters; audio recording; audio signal processing; autoregressive processes; signal denoising; signal detection; smoothing methods; adaptive Kalman-like algorithm; archive audio recording renovation; audio signal; bidirectional processing; broadband noise elimination; forward-backward processing; impulsive disturbances; noise pulse detection; noise pulse localization; signal smoothing; smoothing efficiency; sparse autoregressive modeling; unidirectional processing; Broadband communication; Estimation; Image edge detection; Interpolation; Noise; Smoothing methods; Speech; Restoration of audio signals; adaptive signal processing; bidirectional processing; sparse autoregressive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on

Conference_Location

Vancouver, BC

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2013.6638806

Filename

6638806