Dynamic programming speech recognition using a context-free grammar

H. Ney
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引用次数: 40

Abstract

This paper deels with the use of context-free grammars in automatic speech recognition. A dynamic programming algorithm for recognizing and parsing spoken word strings of a context-free grammar is presented. The algorithm can be viewed as a probabilistic extension of the CYK algorithm along with the incorporation of the nonlineer time alignment. Details of the implementation and experimental tests are described.
使用上下文无关语法的动态编程语音识别
本文研究了上下文无关语法在自动语音识别中的应用。提出了一种动态规划算法,用于识别和解析上下文无关语法的口语单词字符串。该算法可以看作是CYK算法的概率扩展,并加入了非线性时间对准。详细描述了实现和实验测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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