Robust text-independent speaker identification using multiple subband-classifiers in colored noise environment

被引：0

作者：

Vale, E. E. ^{[1
]}

Cunha, A. A. ^{[1
]}

Alcaim, A. ^{[1
]}

机构：

[1] CETUC PUC Rio, BR-22453900 Rio De Janeiro, Brazil

来源：

PROCEEDINGS OF IWSSIP 2008: 15TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING | 2008年

关键词：

speaker identification; multiple classiflers; subband;

D O I：

10.1109/IWSSIP.2008.4604420

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new approach for robust speaker identification using multiple classifiers in the subband domain is presented. The proposed system uses weights calculated from the energy in each subband of the speech signal to combine a set of likelihoods provided by GMM subband-classifiers. Experiments show the effectiveness of the proposed scheme as compared to other techniques.

引用

页码：275 / 277

页数：3

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