Abstract
In our previous work, we proposed a novel way to capture inter-speaker information with a neural network for speaker identification system [1]. In this paper, an active learning algorithm is presented for improving the generalization ability of the neural network towards better capturing inter-speaker information. Comparative results on the KING speech corpus show that our method leads to a considerable improvement, in particular, for the narrow-band set.
Original language | English |
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Title of host publication | Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks |
Publisher | IEEE |
Pages | 2975-2980 |
Number of pages | 5 |
Volume | 4 |
Publication status | Published - 2001 |
Event | International Joint Conference on Neural Networks (IJCNN'01) - Washington, DC Duration: 1 Jul 2001 → … |
Conference
Conference | International Joint Conference on Neural Networks (IJCNN'01) |
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City | Washington, DC |
Period | 1/07/01 → … |