Graphical model architectures for speech recognition

被引：78
作者：
Bilmes, JA
Bartels, C
机构：
[1] Department of Electrical Engineering, University of Washington, Seattle, WA
来源：
IEEE SIGNAL PROCESSING MAGAZINE | 2005年 / 22卷 / 05期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/MSP.2005.1511827
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Statistical graphical models are a family of graphical abstractions of statistical models where the important aspects of such models are represented using graphs. Their main advantage is rapidity that quickly expresses a novel, complicated idea in an intuitive, concise and mathematically formal but widely flexible means of solving problems in speech and language processing. By implementing these models, researchers are able to experiment quickly, reject ideas that perform poorly, and advance ideas that perform well.
引用
收藏
页码：89 / 100
页数：12
相关论文
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