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The paper examines issues related to the determination of features distinctive to sound generators using a fusion of melcepstral and cepstral information for an Automatic Speaker Recognition (ASR) system. Parameterization of the speech signal is crucial to these systems, as the chosen parameterization dictates the effectiveness of the diagnosis and the speed of the system. The authors focus on the...
This paper presents a speaker recognition system, which is independent of the linguistic context. The solved task includes: the preprocessing stage, the segmentation of speech signal leading to the extraction of features based on three techniques, selection of the most important features, and the classification stage involving a serial combination of classifiers. Sets of descriptors were obtained...
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