Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638806
