An Adaptive Method for Text-Independent Speaker Verification
与文本无关的说话人自适应确认方法

In this paper, a novel adaptive text-independent speaker verification method is proposed. This adaptive method is based on the previous work, which uses global speaker model to normalize the likelihood score, and solves one problem of the previous method, i.e., the training time is to long. As a consequence, the waiting time for a new registration is shortened so that a new user can use the system in a short period. The experimental results fully demonstrate the effectiveness of this novel method. When the system has 30 users, the registration time for a new user is accelerated 12 times.