Automatic Preprocessing Technique for Detection of Corrupted Speech Signal Fragments for the Purpose of Speaker Recognition

In this paper we propose a preprocessing technique which allows to detect clicks, tones, overloads, clipping, etc., as well as to discover the parts of good-quality speech signal. As a result the performance of the speaker recognition system increases significantly. It should be noted that when describing noise detectors we aim only to provide a full list of algorithms we used as well as their parameters that we obtained in our experiments. The main goal of the paper is to demonstrate that using a set of simple detectors is very effective in detecting speech for speaker recognition task under the conditions of real noise.