Cepstral mean and variance normalization
id:
cepstral-mean-and-variance-normalization-250-2478450
title:
Cepstral mean and variance normalization
text:
Cepstral mean and variance normalization (CMVN) is a computationally efficient normalization technique for robust speech recognition. The performance of CMVN is known to degrade for short utterances. This is due to insufficient data for parameter estimation and loss of discriminable information as all utterances are forced to have zero mean and unit variance. CMVN minimizes distortion by noise contamination for robust feature extraction by linearly transforming the cepstral coefficients to have
brand slug:
wiki
category slug:
encyclopedia
description:
Speech recognition algorithm
original url:
https://en.wikipedia.org/wiki/Cepstral_mean_and_variance_normalization
date created:
date modified:
2024-04-12T05:41:24Z
main entity:
{"identifier":"Q18205910","url":"https://www.wikidata.org/entity/Q18205910"}
image:
fields total:
13
integrity:
14