Pre-Grant Publication Number: 20100262423
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Prior Art Detail
#659A VECTOR TAYLOR SERIES APPROACH FOR ENVIRONMENT-INDEPENDENT SPEECH RECOGNITION
Applies to Claims 1
Summary / Description
| Summary / 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. |
Basic Information
| Type of Prior Art | Print Publication |
| Publication Title * | |
| Author | Pedro J. Moreno, Bhiksha Raj and Richard M. Stern |
| ISBN | 0-7803-3192-3 |
| Page Range | |
| Medium | Journal article |
| Publication Date * | 2002 |
| URL | |
Notes / To Do
| Notes | |
Excerpt
Excerpt VTS-0 uses only the zeroth-order terms of the Taylor series
and VTS-1 uses the zeroth-order and first-order terms. Higher
orders of VTS are also possible when greater approximation
accuracy is required.
Figure 1 shows how the resulting means of the noisy vector set
x can be approximated quite well by the Taylor series. In this
figure we show the mean of the simulated noisy input signal, as
well as the mean computed using the Taylor series expansion
of orders 0 and 2. As we see, the zeroth-order provides a reasonably
good approximation. However at lower SNRs the second-
order Taylor series expansion provides an even better
approximation of the actual distribution. |
Relevance
Claims
1
Relevance
This article provides evidence that the use of higher order VTS for speech recognition has been known for many years.
This article provides evidence that the use of higher order VTS for speech recognition has been known for many years.
Claim Chart
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