Joint Bayesian Predictive Classification and Parallel Model Combination with Prior Scaling for Robust ASR

被引：0

作者：

Pettersen, Svein Gunnar ^{[1
]}

机构：

[1] Norwegian Univ Sci & Technol, Dept Elect & Telecommun, Trondheim, Norway

来源：

INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | 2008年

关键词：

Speech recognition; robustness; model compensation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a model compensation approach based on Bayesian predictive classification (BPC). In order to obtain effective prior distributions for BPC, our approach uses parallel model combination (PMC) to set the prior mean, and a likelihood ratio to set a scaled frame-specific prior variance. Experiments on the Aurora 2 database show that the proposed approach results in improved average performance compared to PMC.

引用

页码：1273 / 1276

页数：4

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