Method of noise reduction based on dynamic aspects of speech

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United States of America Patent

PATENT NO 7107210
APP PUB NO 20030216911A1
SERIAL NO

10152143

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Abstract

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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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Patent Owner(s)

Patent OwnerAddress
MICROSOFT TECHNOLOGY LICENSING LLCONE MICROSOFT WAY REDMOND WA 98052

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Acero, Alejandro Bellevue, WA 177 7609
Deng, Li Redmond, WA 180 5784
Droppo, James G Duvall, WA 34 1045

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