Adding intelligent help to mixed-initiative spoken dialogue systems
Adding intelligent help to mixed-initiative spoken dialogue systems
复制标题
为混合主动语音对话系统添加智能帮助
DOI：
10.21437/icslp.2002-566
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
Manny Rayner
中科院分区：
文献类型：
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作者：
G. Gorrell;Ian Lewin;Manny Rayner
尽管统计语言模型的整体性能更好，但快速发展的语音识别行业迄今为止仍表现出对基于语法的语言模型的偏好。鉴于基于语法的方法的优点使其不太可能在不久的将来被取代为主要解决方案，因此很自然地想知道这两种方法的某种组合是否可能有用。在这里，我们描述了一个实现的系统，该系统使用统计语言建模和决策树分类器，在基于语法的识别失败时为用户提供一些反馈。该系统的用户比控制系统的用户有更成功的交互。
The rapidly expanding voice recognition industry has so far shown a preference for grammar-based language modelling, despite the better overall performance of statistical language modelling. Given that the advantages of the grammar-based approach make it unlikely to be replaced as the primary solution in the near future, it is natural to wonder whether some combination of the two approaches may prove useful. Here, we describe an implemented system that uses statistical language modelling and a decision-tree classifier to provide the user with some feedback when grammarbased recognition fails. Users of this system had more successful interactions than did users of a control system.