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Detection of impulsive disturbances in archive audio signals

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.

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) strony 671 - 675
ISSN:
2379-190X
Language:
English
Publication year:
2017
Bibliographic description:
Ciołek M., Niedźwiecki M..: Detection of impulsive disturbances in archive audio signals, W: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, ,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/icassp.2017.7952240
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