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Speech data mining for call center management

机译:语音数据挖掘,用于呼叫中心管理

摘要

A speech data mining system for use in generating a rich transcription having utility in call center management includes a speech differentiation module differentiating between speech of interacting speakers, and a speech recognition module improving automatic recognition of speech of one speaker based on interaction with another speaker employed as a reference speaker. A transcript generation module generates a rich transcript based on recognized speech of the speakers. Focused, interactive language models improve recognition of a customer on a low quality channel using context extracted from speech of a call center operator on a high quality channel with a speech model adapted to the operator. Mined speech data includes number of interaction turns, customer frustration phrases, operator polity, interruptions, and/or contexts extracted from speech recognition results, such as topics, complaints, solutions, and resolutions. Mined speech data is useful in call center and/or product or service quality management.
机译:一种用于在呼叫中心管理中产生有用的用于产生丰富转录的语音数据挖掘系统,包括:语音区分模块,用于在交互说话者的语音之间进行区分;以及语音识别模块,其基于与所使用的另一说话者的交互来改善一个说话者的语音的自动识别。作为参考发言人。成绩单产生模块基于说话者的识别语音来产生丰富的成绩单。集中的交互式语言模型使用从呼叫中心话务员在高质量频道上的语音中提取的上下文以及适用于该话务员的语音模型来改善对低质量频道上客户的识别。挖掘的语音数据包括交互次数,客户沮丧短语,操作员政体,打扰和/或从语音识别结果中提取的上下文(例如主题,投诉,解决方案和解决方案)。语音挖掘数据可用于呼叫中心和/或产品或服务质量管理。

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