Abstract: In this paper a novel method for the detection of
clipping in speech signals is described. It is shown that the new
method has better performance than known clipping detection
methods, is easy to implement, and is robust to changes in signal
amplitude, size of data, etc. Statistical simulation results are
presented.
Abstract: In this work, a method of time delay estimation for
dual-channel acoustic signals (speech, music, etc.) recorded under
reverberant conditions is investigated. Standard methods based on
cross-correlation of the signals show poor results in cases involving
strong reverberation, large distances between microphones and
asynchronous recordings. Under similar conditions, a method based
on cross-correlation of temporal envelopes of the signals delivers a
delay estimation of acceptable quality. This method and its properties
are described and investigated in detail, including its limits of
applicability. The method’s optimal parameter estimation and a
comparison with other known methods of time delay estimation are
also provided.