In-Set/Out-of-Set Speaker Recognition Under Sparse Enrollment

@article{Prakash2007InSetOutofSetSR,
  title={In-Set/Out-of-Set Speaker Recognition Under Sparse Enrollment},
  author={Vinod Prakash and John H. L. Hansen},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2007},
  volume={15},
  pages={2044-2052}
}
In this paper, the problem of identifying in-set versus out-of-set speakers using extremely limited enrollment data is addressed. The recognition objective is to form a binary decision regarding an input speaker as being a legitimate member of a set of enrolled speakers or not. Here, the emphasis is on low enrollment (about 5 sec of speech for each enrolled speaker) and test data durations (2-8 sec), in a text-independent scenario. In order to overcome the limited enrollment, data from speakers… CONTINUE READING

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