On-line parametric histogram normalization for noise robust...

Details On-line parametric histogram normalization for noise robust... On-line parametric histogram normalization for noise robust...

2007-03-27

2007-03-27

Dorvil, Richemond (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S226000, C704S227000, C704S234000

Reexamination Certificate

active

10136039

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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ETSI ES 201 108 V1.1.2 (Apr. 2000); Speech Processing, Transmission and Quality aspects (STQ); Distributed speech recognition; Front-end feature extraction algorithm; Compression algorithms.
“Histogram Based Normalization in the Acoustic Feature Space”; Molau et al.; ASRU 2001 Workshop on Automatic Speech Recognition and Understanding, 2001.
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IEEE 0-7803-7343-X/02; Molau et al.; “Histogram Based Normalization in the Acoustic Feature Space”; pp. 21-24; 2002.

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