Recognition Error Handling by the Speech Understanding System to Improve Spoken Dialogue Systems
Recognition Error Handling by the Speech Understanding System to Improve Spoken Dialogue Systems
复制标题
语音理解系统的识别错误处理以改进口语对话系统
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
N. Vigouroux
中科院分区：
文献类型：
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作者：
Caroline Bousquet;N. Vigouroux
本文的目的是提高语音理解对各种识别错误的鲁棒性。事实上，这些错误在人机对话中是频繁的，并且通常对口语对话系统的所有组件产生影响。我们提出了一种基于随机和概念模型的方法。该模型对插入和删除等错误具有鲁棒性。我们还提出了这个模型的扩展，以增加的鲁棒性的理解过程中面临的误解（即替换）和未知的话。我们在列车时刻表查询应用程序上进行了一系列的试验，以评估在遇到识别错误时的理解率。
The aim of this paper is to increase the robustness of speech understanding facing the different kinds of recognition error. Indeed, these errors are frequent in human-machine dialogue and have usually repercussions on all components of the spoken dialogue system. We propose an approach based on a stochastic and conceptual model. This model is robust to some kinds of errors like insertions and deletions. We present also an extension of this model in order to increase the robustness of the understanding process faced with misrecognitions (i.e. substitutions) and unknown words. We performed trial series on train schedule inquiry application to evaluate the understanding rate when confronted to recognition errors.