Usefulness of the LPC-Residue in Text-Independent Speaker Verification
P. Thévenaz, H. Hügli
Speech Communication, vol. 17, no. 1-2, pp. 145–157, August 1995.
This paper considers speech analysis by linear prediction and investigates the recognition contribution of its two main resulting components, namely the synthesis filter on one hand and the residue on the other hand. This investigation is motivated by the orthogonality property and the physiological significance of these two components, which suggest the possibility of an improvement over current speaker recognition approaches based on nothing but the usual synthesis filter features. Specifically, we propose a new representation of the residue and we analyse its corresponding recognition performance by issuing experiments in the context of text-independent speaker verification. Experiments involving both known and new methods allow us to compare the recognition performance of the two components. First we consider separate methods, then we combine them. Each method is tested on the same database and according to the same methodology, with strictly disjoint training and test data sets. The results show the usefulness of the residue when used alone, even if it proves to be less efficient than the synthesis filter. However, when both are combined, the residue shows its true relevance. It achieves a reduction of the error rate which, in our case, went down from 5.7% to 4.0%.
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