Utilizing Scalar Operations for Recognizing Utterances During Automatic Speech Recognition in Noisy Environments
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United States of America Patent
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Mar 6, 2014
app pub date -
Sep 5, 2012
filing date -
Sep 5, 2012
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Abstract
Scalar operations for model adaptation or feature enhancement may be utilized for recognizing an utterance during automatic speech recognition in a noisy environment. An utterance including distorted speech generated from a transmission source for delivery to a receiver, may be received by a computer. The distorted speech may be caused by the noisy environment and channel distortion. Computations using scalar operations in the form of an algorithm may then be performed for recognizing the utterance. As a result of performing all of the computations with scalar operations, computational complexity is very small in comparison to matrix and vector operations. Vector Taylor Series with diagonal Jacobian approximation may also be utilized as a distortion-model-based noise robust algorithm with scalar operations.
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