Method of noise reduction based on dynamic aspects of speech

Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission

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C704S233000, C704S236000

Reexamination Certificate

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07107210

ABSTRACT:
A system and method are provided that reduce noise in pattern recognition signals. To do this, embodiments of the present invention utilize a prior model of dynamic aspects of clean speech together with one or both of a prior model of static aspects of clean speech, and an acoustic model that indicates the relationship between clean speech, noisy speech and noise. In one embodiment, components of a noise-reduced feature vector are produced by forming a weighted sum of predicted values from the prior model of dynamic aspects of clean speech, the prior model of static aspects of clean speech and the acoustic-environmental model.

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