Interfusing the Confused Region Score of Speaker Verification Systems

In the text-independent speaker recognition field, there have been many excellent techniques based on the cepstral acoustic features. Recently, high level prosodic features have been widely used to verify the speaker´s identity as they are less sensitive to the channel and noisy effect. But how to combine the existed prosodic system´s scores with the scores of the system based on acoustic features to achieve a superior performance becomes a very difficult issue. This paper presents a combination method called interfusing the confused region scores (ICRS) to achieve a better recognition precisio.n. We report results on the NIST 2006 speaker recognition evaluation (SRE) using two component systems: a standard MFCC-SVM and PGCP- SVM prosodic system, and show that the proposed interfusing technique results in 9.25% reduction in equal error rate (EER) and at last gets a EER = 4.9% after system´s combination.