Article

Article title ABOUT STATISTIC METHODS OF CORRUPTED TEXT AND SPEECH MESSAGES IDENTIFICATION
Authors Lednov D. A., Kulay A. Yu., Melnikov S. Yu.
Section SECTION III. SECURITY OF TELECOMMUNICATIONS
Month, Year 08, 2008 @en
Index UDC 681.056
DOI
Abstract Different statistical methods for distorted texts language identification are described. An experimental comparison of performance is given for different lengths of text messages. Advice on choosing statistical method for speech language identification is given under the assumption that the proposed text distortion model is adequate to the distortion observed in the processing of speech signal.

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Keywords language identification methods, small order models, probability smoothing methods, automata theory.
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