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In speaker recognition tasks, one of the reasons for reduced accuracy is due to closely resembling speakers in the acoustic space. In order to increase the discriminative power of the classifier, the system must be able to use only the unique features of a given speaker with respect to his/her acoustically resembling speaker. This paper proposes a technique to reduce the confusion errors, by finding...
In speaker recognition tasks, the main reason for reduced accuracy is due to closely resembling speakers in the acoustic space. Conventional GMM-based modelling technique captures unique features along with common features among various classes. Further, it ignores knowledge of phonetic content of the speech. In order to increase the discriminative power of the classifier, the system must be able...
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