Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Frameworks for recognition of Mandarin syllables with tones using sub-syllabic units
Speech Communication
Telephone speech recognition based on Bayesian adaptation of hidden Markov models
Speech Communication
Industrial Applications of Fuzzy Logic and Intelligent Systems
Industrial Applications of Fuzzy Logic and Intelligent Systems
Robust estimation for rapid speaker adaptation using discounted likelihood techniques
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Probabilistic self-organizing maps for continuous data
IEEE Transactions on Neural Networks
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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.