Pre-Grant Publication Number: 20100262423
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Prior Art (3)
Title IEEE SIGNAL PROCESSING LETTERS
ISBN
Description
From the abstract:The statistical linear approximation (SLA) method
is proposed as a novel way to approximate a nonlinear function
by a linearized model. In the proposed method, an optimization
criterion for approximation is defined in terms of statistical expectation.
The SLA is applied to environment compensation where
the speech contamination rule appears as a highly nonlinear
function of the relevant variables.
#659A VECTOR TAYLOR SERIES APPROACH FOR ENVIRONMENT-INDEPENDENT SPEECH RECOGNITION
Applies to Claims 1
Title
ISBN 0-7803-3192-3
Description
An analytical approach to environment compensation for speech recognition. Uses the Vector Taylor Series expansion to characterize the effects on speech statistics of unknown noise.
Title OVERCOMING THE VECTOR TAYLOR SERIES APPROXIMATION IN SPEECH FEATURE ENHANCEMENT — A PARTICLE FILTER
ISBN
Description
It appears the use of vector taylor series approximation in speech has already existed
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