On-line parametric histogram normalization for noise robust speech recognition
US7197456B2 · kind B2 · utility
10Cited by
9References
32Claims
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Key dates
| Filing date | Apr 30, 2002 |
| Grant date | Mar 27, 2007 |
| Priority date | — |
| Expiry date | May 26, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for improving noise robustness in speech recognition, wherein a front-end is used for extracting speech feature from an input speech and for providing a plurality of scaled spectral coefficients. The histogram of the scaled spectral coefficients is normalized to the histogram of a training set using Gaussian approximations. The normalized spectral coefficients are then converted into a set of cepstrum coefficients by a decorrelation module and further subjected to ceptral domain feature-vector normalization.
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