Browsing by Author "Ding, Ing-Jr"

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Fuzzy Logic Based Control for VFS Speaker adaptation
(2008-12-01)
Ding, Ing-Jr
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資訊工程學系
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Department of Computer Science
This work presents a fuzzy logic control (FLC) mechanism for the widely adopted vector field smoothing (VFS) speaker adaptation scheme. The proposed mechanism, called FLC-VFS, regulates the influence of VFS adaptation when the training data from a new speaker is inadequate, specifically by taking the amount of adaptation data into account at the stage of transfer vectors interpolation, and thus ensures the robustness of VFS adaptation against data scarcity. The proposed mechanism is conceptually simple and effective. Experimental results indicate that FLC-VFS outperforms conventional VFS, particularly when the adaptation data are scarce.
Incremental MLLR speaker adaptation by fuzzy logic control
(2007-11-01)
Ding, Ing-Jr
;
資訊工程學系
;
Department of Computer Science
This paper presents a fuzzy control mechanism for conventional maximum likelihood linear regression (MLLR) speaker adaptation, called FLC-MLLR, by which the effect of MLLR adaptation is regulated according to the availability of adaptation data in such a way that the advantage of MLLR adaptation could be fully exploited when the training data are sufficient, or the consequence of poor MLLR adaptation would be restrained otherwise. The robustness of MLLR adaptation against data scarcity is thus ensured. The proposed mechanism is conceptually simple and computationally inexpensive and effective; the experiments in recognition rate show that FLC-MLLR outperforms standard MLLR especially when encountering data insufficiency and performs better than MAPLR at much less computing cost. (c) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.