Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: We apply multilayer bootstrap network (MBN), a recent pro-<lb>posed unsupervised learning method, to unsupervised speaker<lb>recognition. The proposed method first extracts supervectors<lb>from an unsupervised universal background model, then re-<lb>duces the dimension of the high-dimensional supervectors by<lb>multilayer bootstrap network, and finally conducts unsuper-<lb>vised speaker recognition by clustering the low-dimensional<lb>data. The comparison results with 2 unsupervised and 1 su-<lb>pervised speaker recognition techniques demonstrate the ef-<lb>fectiveness and robustness of the proposed method.

MULTILAYER BOOTSTRAP NETWORK FOR UNSUPERVISED SPEAKER RECOGNITION