ICASSP 2017accepted0 citations
Detection of impulsive disturbances in archive audio signals
Marcin Ciolek, Maciej Niedzwiecki
Abstract
In this paper the problem of detection of impulsive disturbances in archive audio signals is considered. It is shown that semi-causal/noncausal solutions based on joint evaluation of signal prediction errors and leave-one-out signal interpolation errors, allow one to noticeably improve detection results compared to the prediction-only based solutions. The proposed approaches are evaluated on a set of clean audio signals contaminated with real click waveforms extracted from silent parts of old gramophone recordings.
BibTeX
@inproceedings{icassp2017_detectionofimpul,
title = {Detection of impulsive disturbances in archive audio signals},
author = {Marcin Ciolek and Maciej Niedzwiecki},
booktitle = {ICASSP 2017},
year = {2017}
}