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Detection of characteristics of human-machine interactions for dialog customization and analysis

机译:检测人机交互的特征以进行对话框定制和分析

摘要

A system which uses automatic speech recognition to provide dialogs with human speakers automatically detects one or more characteristics, which may be characteristics of a speaker, his speech, his environment, or the speech channel used to communicate with the speaker. The characteristic may be detected either during the dialog or at a later time based on stored data representing the dialog. If the characteristic is detected during the dialog, the dialog can be customized for the speaker at an application level, based on the detected characteristic. The customization may include customization of operations and features such as call routing, error recovery, call flow, content selection, system prompts, or system persona. Data indicative of detected characteristics can be stored and accumulated for many speakers and/or dialogs and analyzed offline to generate a demographic or other type of analysis of the speakers or dialogs with respect to one or more detected characteristics.
机译:使用自动语音识别为人类说话者提供对话的系统会自动检测一个或多个特征,这些特征可能是说话者的特征,他的言语,他的环境或用于与该说话者交流的语音通道。可以在对话期间或稍后基于表示对话的存储数据来检测特征。如果在对话期间检测到特征,则可以基于检测到的特征在应用程序级别为扬声器自定义对话。定制可以包括诸如呼叫路由,错误恢复,呼叫流,内容选择,系统提示或系统角色之类的操作和特征的定制。可以为许多说话者和/或对话存储并累积指示检测到的特征的数据,并且离线分析这些数据,以针对一个或多个检测到的特征生成说话者或对话的人口统计或其他类型的分析。

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