Flexible Mixed-Initiative Dialogue Management using Concept-Level Confidence Measures of Speech Recognizer Output
Flexible Mixed-Initiative Dialogue Management using Concept-Level Confidence Measures of Speech Recognizer Output
复制标题
使用语音识别器输出的概念级置信度测量的灵活混合主动对话管理
DOI：
10.3115/990820.990888
复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
Tatsuya Kawahara
中科院分区：
文献类型：
--
作者：
Kazunori Komatani;Tatsuya Kawahara
We present a method to realize flexible mixed-initiative dialogue, in which the system can make effective confirmation and guidance using concept-level confidence measures (CMs) derived from speech recognizer output in order to handle speech recognition errors. We define two concept-level CMs, which are on content-words and on semantic-attributes, using 10-best outputs of the speech recognizer and parsing with phrase-level grammars. Content-word CM is useful for selecting plausible interpretations. Less confident interpretations are given to confirmation process. The strategy improved the interpretation accuracy by 11.5%. Moreover, the semantic-attribute CM is used to estimate user's intention and generates system-initiative guidances even when successful interpretation is not obtained.
