A decision-theoretic framework for the evaluation of language models used in speech recognizers

J. R. DELLER Jr.; K. H. DESAI; Y. P. YANG

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A decision-theoretic framework for the evaluation of language models used in speech recognizers

机译：用于评估语音识别器中语言模型的决策理论框架

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An analytical method for design and performance analysis of language models (LM) is described, and an example interactive software tool based on the technique is demonstrated. The LM performance analysis does not require on-line simulation or experimentation with the recognition system in which the LM is to employed. By exploiting parallels with signal detection theory, a profile of the LM as a function of the design parameters is given in a set of curves analogous to a receiver-operating-characteristic display.

机译：描述了一种用于语言模型（LM）的设计和性能分析的分析方法，并演示了基于该技术的示例交互式软件工具。 LM性能分析不需要在线模拟或对采用LM的识别系统进行实验。通过利用与信号检测理论的相似性，在一组类似于接收器工作特性显示的曲线中给出了LM作为设计参数的函数的曲线。

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《Natural language engineering》 |2005年第pt4期|p.363-396|共34页
作者
J. R. DELLER Jr.; K. H. DESAI; Y. P. YANG;
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Department of Electrical & Computer Engineering, Michigan State University, 2120 EB, East Lansing, MI 48824-1226, USA;

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正文语种 eng
中图分类计算技术、计算机技术;
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入库时间 2022-08-18 02:11:01

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A decision-theoretic framework for the evaluation of language models used in speech recognizers

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