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A comparative study of two search strategies for connected word recognition: dynamic programming and heuristic search

机译:两种用于关联单词识别的搜索策略的比较研究:动态编程和启发式搜索

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摘要

A most successful approach to recognizing continuous speech is to model the recognition problem as one of finding an optimal path through a finite state network. A comparison of two search strategies for finding the optimal path, dynamic programming and heuristic search, is presented. The comparison is based on theoretical considerations and experimental tests on a digit string task.
机译:识别连续语音的最成功方法是将识别问题建模为寻找通过有限状态网络的最佳路径之一。给出了两种用于寻找最佳路径的搜索策略的比较,即动态规划和启发式搜索。比较是基于理论上的考虑和对数字字符串任务的实验测试。

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