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Voice-based Human-Machine Interaction Modeling for Automated Information Services

机译:自动化信息服务的基于语音的人机交互建模

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摘要

The main aim of telecommunications is to bring people thousands miles apart, anytime, anywhere together to communicate as if they were having a face-to-face conversation in a ubiquitous tele-presence way. One key component necessary to reach this main aim is the technology enabling usual communication by voice. This means the use of automatic speech recognition [1]. An IVR (Interactive Voice Response) based systems can be used to automate a wide range of services and data requests. These systems are used most often by the companies to provide the self-service abilities to customer. The system takes the input from the user and provides back the enterprise information in the form of recorded or synthesized voice, fax or even an email by connecting one or more online databases to the caller. Although there are several hundred million Internet-connected PCs in the world, this figure is dwarfed by the two billion fixed and mobile phones. The telephone is ubiquitous, increasingly mobile and could, in principle, provide a universal platform for accessing online services. To date efforts to harness this potential in the form of IVR systems have not proved especially popular with users. There's a wind of change blowing through the IVR world, impelled by advances in speech recognition technology and a transformation of the IVR programming environment.
机译:电信的主要目的是使人们随时随地相距数千英里,以无处不在的远程呈现方式进行面对面的交流。达到此主要目的所必需的一个关键组件是使语音能够进行常规通信的技术。这意味着使用自动语音识别[1]。基于IVR(交互式语音响应)的系统可用于自动执行各种服务和数据请求。公司最常使用这些系统来向客户提供自助服务功能。该系统从用户那里获取输入,并通过将一个或多个在线数据库连接到呼叫者,以记录或合成的语音,传真甚至电子邮件的形式提供企业信息。尽管全球有数亿台连接互联网的PC,但与20亿部固定电话和移动电话相比,这一数字相形见war。电话无处不在,移动性越来越强,原则上可以提供访问在线服务的通用平台。迄今为止,尚未证明利用IVR系统形式的这种潜力的努力在用户中特别受欢迎。语音识别技术的进步和IVR编程环境的变革推动了IVR世界的变革之风。

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