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A new article is available in IPOL:
<a class="moz-txt-link-freetext" href="http://www.ipol.im/pub/art/2015/64/">http://www.ipol.im/pub/art/2015/64/</a><br>
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Laurent Oudre, <br>
Automatic Detection and Removal of Impulsive Noise in Audio Signals,
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Image Processing On Line, 5 (2015), pp. 267–281. <br>
<a class="moz-txt-link-freetext" href="http://dx.doi.org/10.5201/ipol.2015.64">http://dx.doi.org/10.5201/ipol.2015.64</a><br>
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Abstract<br>
This article presents a method for restoring audio signals corrupted
by impulsive noise such as clicks, bursts or scratches. The
algorithm takes as input a degraded audio signal and automatically
detects the locations of the degraded samples and replaces them with
more appropriate values. Both steps (detection and interpolation)
are based on the assumption that the signal can locally be modeled
as a realization of an autoregressive process. Surprisingly, the
results obtained on several types of signals (classical, jazz,
vocal, etc.) show that a fully automatic method, with a carefully
fixed set of parameters, can achieve good performance on a wide
range of degraded audio signals.<br>
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