使用上下文无关语法的动态编程语音识别

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1987-04-06 DOI:10.1109/ICASSP.1987.1169746

H. Ney

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引用次数: 40

摘要

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。

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Dynamic programming speech recognition using a context-free grammar

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.

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ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing

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