Method of and apparatus for signal recognition that compensates

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395 254, G10L 500

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active

057271240

ABSTRACT:
Disclosed is a method for drastically reducing the average error rate for signals under mismatched conditions. The method takes a signal (e.g., speech signal) and a set of stored representations (e.g., stored representations of keywords) and performs at least one transformation that results in the signal more closely emulating the stored representations. This is accomplished by using one of three techniques. First, one may transform the signal so that the signal may be better approximated by (e.g., is closer to) one of the stored representations. Second, one may transform the set of stored representations so that one of the stored representations better approximates the signal. Third, one may transform both the signal and the set of stored representations.

REFERENCES:
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patent: 5222146 (1993-06-01), Bahl et al.
Lee C-H et al., A study on speaker adaptation of continuous density HMM parameters, IEEE Feb. 2 1990.
Tattersall G D, et al., University of East Anglia, UK, Oct. 1989.
Von Compernolle, D, Computer Speech and Language, n. 3, Jul. 1989.
Allen Gersho and Robert M. Gray, "Vector Quantization I: Structure and Performance" Victor Quantization and Signal Compression -Kluwer Academic Publishers pp. 309-423.
GSM Recommendation 06.20 (Ver. 0.0.4), Jan. 11, 1995.

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