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DETERMINATION OF CHANNEL-INDEPENDENT INFORMATION INDICATORS

Annotation

Information indicators of speech are analyzed for creation of channel-independent feature space aimed at improvement of speaker recognition system efficiency. For the problem of determination of similarity between several audio recordings, the optimal set of channel-independent information feature vectors is determined experimentally with the use of dynamic time warping.

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