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    • 3. 发明授权
    • Method and system for automating the creation of customer-centric interfaces
    • 自动创建以客户为中心的接口的方法和系统
    • US07379537B2
    • 2008-05-27
    • US10217873
    • 2002-08-13
    • Robert R. BusheyTheodore B. PasqualeScott H. MillsJohn M. MartinBenjamin A. KnottKurt M. Joseph
    • Robert R. BusheyTheodore B. PasqualeScott H. MillsJohn M. MartinBenjamin A. KnottKurt M. Joseph
    • H04M3/527
    • G10L15/1822G06F8/20G06Q10/10H04M15/00
    • A method and system for automating the creation of customer-centric interfaces includes a customer-centric interface system automatically creating a customer-centric interface, a collection engine, a customer language engine, a task frequency engine, a customer structure engine, and a customer performance engine. The collection engine collects a plurality of customer intention information. The customer language engine utilizes the customer intention information to create customer-centric menu prompts using the customers own terminology and action specific object words. The task frequency engine determines a frequency of occurrence for the tasks for which the customers contact the customer-centric interface and orders the tasks within the customer-centric interface. The customer structure engine determines how the customers relate the tasks together and groups the tasks according to task relationships. The customer performance engine tests the customer-centric interface and modifies the customer-centric interface for optimal performance.
    • 用于自动创建以客户为中心的接口的方法和系统包括以客户为中心的接口系统,自动创建以客户为中心的接口,收集引擎,客户语言引擎,任务频率引擎,客户结构引擎和客户 性能引擎。 收集引擎收集多个客户意图信息。 客户语言引擎利用客户意图信息,使用客户自己的术语和动作特定的对象词来创建以客户为中心的菜单提示。 任务频率引擎确定客户联系以客户为中心的界面的任务的发生频率,并以客户为中心的界面订购任务。 客户结构引擎确定客户如何将任务相互联系在一起,并根据任务关系对任务进行分组。 客户绩效引擎测试以客户为中心的界面,修改以客户为中心的界面,以获得最佳性能。
    • 6. 发明授权
    • System and method for analyzing automatic speech recognition performance data
    • 用于分析自动语音识别性能数据的系统和方法
    • US08625773B2
    • 2014-01-07
    • US12106753
    • 2008-04-21
    • Scott H. MillsJohn M. Martin
    • Scott H. MillsJohn M. Martin
    • H04M3/00G10L11/00
    • G10L15/01
    • In a disclosed method for interpreting automatic speech recognition (ASR) performance data, a data processing system may receive user input that selects a log file to be processed. The log file may contain log records produced by an ASR system as a result of verbal interaction between an individual and the ASR system. In response to receiving the user input, the data processing system may automatically interpret data in the log records and generate interpretation results. The interpretation results may include a duration for a system prompt communicated to the individual by the ASR system, a user response to the system prompt, and a duration for the user response. The user response may include a textual representation of a verbal response from the individual, obtained through ASR. The interpretation results may also include an overall duration for the telephone call.
    • 在公开的用于解释自动语音识别(ASR)性能数据的方法中,数据处理系统可以接收选择要处理的日志文件的用户输入。 日志文件可能包含ASR系统产生的日志记录,这是由个人与ASR系统之间的口头交互造成的。 响应于接收到用户输入,数据处理系统可以自动解释日志记录中的数据并产生解释结果。 解释结果可以包括由ASR系统传达给个人的系统提示的持续时间,用户对系统提示的响应以及用户响应的持续时间。 用户响应可以包括通过ASR获得的来自个体的口头响应的文本表示。 解释结果还可以包括电话的整体持续时间。