Robustness Analysis of Automatic Speech Signal Recognition System Against Factors Degrading Speech Signal

被引：0

作者：

Oska, Jaroslaw ^{[1
]}

Wojtun, Jaroslaw ^{[1
]}

Wodecki, Krzysztof ^{[1
]}

Piotrowski, Zbigniew ^{[1
]}

机构：

[1] Mil Univ Technol, Fac Elect, Warsaw, Poland

来源：

SPA 2015 SIGNAL PROCESSING ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS | 2015年

关键词：

speech recognition; degrading factors; LPCC; MFCC; GMM-UBM; G.711; G.723.1; iLBC;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the article there are presented the results of research on the influence of the lossy compression, used in codecs G.711, G.723.1 and iLBC, on the efficiency of isolated speech phrase recognition. In the research the degree of robustness against degrading factors in the parameterisation method of audio signal LPCC and MFCC (Linear Prediction Cepstral Coefficients, Mel Frequency Cepstral Coefficients) is compared. The research is based on the classifier of improved Gaussian mixtures making allowance for Universal Background Model GMM-UBM (Gaussian Mixtures Model - Universal Background Model). The research was conducted on the database composed of 3000 isolated speech phrases.

引用

页码：71 / 75

页数：5

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