A New Algorithm For Speaker Identification Using The Dempster-Shafer Theory Of Evidence
نویسندگان
چکیده
In this paper, speaker identification using the Dempster-Shafer theory of evidence is discussed. The objective is to use the complementary information present from different classifiers to fuse the classification results into a single decision. Here, we use a decreasing function of the distance (of the classifiers) as our belief function. In the case of speaker identification, we show that a combined classifier based on the Dempster-Shafer theory outperforms the indidvidual LPCC and MFCC classifiers when used separately.
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