Adaptive decision directed speech recognition bias equalization

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

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704251, G10L 506

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active

058129723

ABSTRACT:
The present invention provides a speech recognizer that creates and updates the equalization vector as input speech is provided to the recognizer. The present invention includes a speech analyzer which transforms an input speech signal into a series of feature vectors or observation sequence. Each feature vector is then provided to a speech recognizer which modifies the feature vector by subtracting a previously determined equalization vector therefrom. The recognizer then performs segmentation and matches the modified feature vector to a stored model vector which is defined as the segmentation vector. The recognizer then, from time to time, determines a new equalization vector, the new equalization vector being defined based on the difference between one or more input feature vectors and their respective segmentation vectors. The new equalization vector may then be used either for performing another segmentation iteration on the same observation sequence or for performing segmentation on subsequent feature vectors.

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Lawrence Rabiner and Biing-Hwang Juang, Fundamentals of Speech Recognition, pp. 7,51,105-106,321-322,375,390,489, 1993.
Yunxin Zhao, "An Acoustic-Phonetic-Based Speaker Adaptation Technique for Improving Speaker-Independent Continuous Speech Recognition", IEEE Transactions on Speech and Audio Processing, vol. 2, No. 3, pp. 380-394, Jul. 1994.
Yunxin Zhao, "A New Speaker Adaptation Technique Using Very Short Calibration Speech", Proc. IEEE 1993 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 93), pp. II-562--II-565, Apr. 1993.

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