会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 31. 发明授权
    • Method and apparatus for recognizing large list of proper names in spoken dialog systems
    • 在口头对话系统中识别大名单的方法和装置
    • US07925507B2
    • 2011-04-12
    • US11483840
    • 2006-07-07
    • Fuliang WengTobias ScheideckZhe FengBadri Raghunathan
    • Fuliang WengTobias ScheideckZhe FengBadri Raghunathan
    • G10L15/18
    • G06F17/278G06F17/30654G10L15/22
    • Embodiments of a name recognition process for use in dialog systems are described. In one embodiment, the name recognition process assigns weighting values to names used in a dialog based on the usage of these names. This process takes advantage of the general tendency of people to speak names, either full or partial, only after they have heard or read these names. Name input is taken in several different forms, including a static background database that contains all possible names, a background database that contains commonly used names (such as common trademarks or references), a database that contains names from a user model, and a dynamic database that constantly takes the names just mentioned. The names are then appended with proper weighting values. A high weight is given to names that have been mentioned recently, a lower weight is given to common names, and a lowest weight is given to names for the ones that have never been used or mentioned.
    • 描述在对话系统中使用的名称识别过程的实施例。 在一个实施例中,名称识别过程基于这些名称的使用,将加权值分配给对话中使用的名称。 这个过程只有在听到或读过这些名字之后才能利用人们的全部或部分名字的一般倾向。 名称输入采用几种不同的形式,包括包含所有可能名称的静态后台数据库,包含常用名称(如公共商标或引用)的后台数据库,包含用户模型名称的数据库和动态 数据库不断提供刚才提到的名称。 然后,这些名称将附加适当的权重值。 给予最近提到的名称较高的重量,较低的重量被赋予通用名称,而对于从未被使用或提及的那些的名称来说,最小的重量是给予的。
    • 33. 发明申请
    • System and Method for Detecting Repeated Patterns in Dialog Systems
    • 用于检测对话系统中重复模式的系统和方法
    • US20090313016A1
    • 2009-12-17
    • US12139401
    • 2008-06-13
    • Mert CevikFuliang Weng
    • Mert CevikFuliang Weng
    • G10L15/00
    • G10L15/22G10L15/12
    • Embodiments of a method and system for detecting repeated patterns in dialog systems are described. The system includes a dynamic time warping (DTW) based pattern comparison algorithm that is used to find the best matching parts between a correction utterance and an original utterance. Reference patterns are generated from the correction utterance by an unsupervised segmentation scheme. No significant information about the position of the repeated parts in the correction utterance is assumed, as each reference pattern is compared with the original utterance from the beginning of the utterance to the end. A pattern comparison process with DTW is executed without knowledge of fixed end-points. A recursive DTW computation is executed to find the best matching parts that are considered as the repeated parts as well as the end-points of the utterance.
    • 描述用于检测对话系统中的重复模式的方法和系统的实施例。 该系统包括基于动态时间扭曲(DTW)的模式比较算法,用于在校正发声和原始话语之间找到最佳匹配部分。 通过无监督分割方案从校正发声产生参考模式。 假设在校正发声中重复部分的位置的重要信息,因为每个参考图案与从话语开始到结束的原始话语进行比较。 在不知道固定端点的情况下执行DTW的模式比较过程。 执行递归DTW计算,以找到被认为是重复部分以及话语终点的最佳匹配部分。
    • 36. 发明申请
    • Switching Functionality To Control Real-Time Switching Of Modules Of A Dialog System
    • 切换功能来控制对话系统模块的实时切换
    • US20090119104A1
    • 2009-05-07
    • US11936658
    • 2007-11-07
    • Fuliang WengBaoshi YanZhe Feng
    • Fuliang WengBaoshi YanZhe Feng
    • G10L15/06
    • G10L15/22H04M3/10H04M3/493
    • Systems and methods are described that automatically control modules of dialog systems. The systems and methods include a dialog module that receives and processes utterances from a speaker and outputs data used to generate synthetic speech outputs as responses to the utterances. A controller is coupled to the dialog module, and the controller detects an abnormal output of the dialog module when the dialog module is processing in an automatic mode. The controller comprises a mode control for an agent to control the dialog module by correcting the abnormal output and transferring a corrected output to a downstream dialog module that follows, in a processing path, the dialog module. The corrected output is used in further processing the utterances.
    • 描述了自动控制对话系统模块的系统和方法。 系统和方法包括对话模块,其接收和处理来自扬声器的话语,并输出用于产生合成语音输出的数据作为对话语的响应。 控制器耦合到对话模块,当对话模块以自动模式进行处理时,控制器检测对话模块的异常输出。 控制器包括用于通过校正异常输出并将修正后的输出传送到在处理路径中跟随在对话模块中的下游对话模块来控制对话模块的代理的模式控制。 校正输出用于进一步处理话语。
    • 37. 发明申请
    • Method and apparatus for recognizing large list of proper names in spoken dialog systems
    • 在口头对话系统中识别大名单的方法和装置
    • US20080010058A1
    • 2008-01-10
    • US11483840
    • 2006-07-07
    • Fuliang WengTobias ScheideckZhe FengBadri Raghunathan
    • Fuliang WengTobias ScheideckZhe FengBadri Raghunathan
    • G06F17/27
    • G06F17/278G06F17/30654G10L15/22
    • Embodiments of a name recognition process for use in dialog systems are described. In one embodiment, the name recognition process assigns weighting values to names used in a dialog based on the usage of these names. This process takes advantage of the general tendency of people to speak names, either full or partial, only after they have heard or read these names. Name input is taken in several different forms, including a static background database that contains all possible names, a background database that contains commonly used names (such as common trademarks or references), a database that contains names from a user model, and a dynamic database that constantly takes the names just mentioned. The names are then appended with proper weighting values. A high weight is given to names that have been mentioned recently, a lower weight is given to common names, and a lowest weight is given to names for the ones that have never been used or mentioned.
    • 描述在对话系统中使用的名称识别过程的实施例。 在一个实施例中,名称识别过程基于这些名称的使用,将加权值分配给对话中使用的名称。 这个过程只有在听到或读过这些名字之后才能利用人们的全部或部分名字的一般倾向。 名称输入采用几种不同的形式,包括包含所有可能名称的静态后台数据库,包含常用名称(如公共商标或引用)的后台数据库,包含用户模型名称的数据库和动态 数据库不断提供刚才提到的名称。 然后,这些名称将附加适当的权重值。 给予最近提到的名称较高的重量,较低的重量被赋予通用名称,而对于从未被使用或提及的那些的名称来说,最小的重量是给予的。
    • 38. 发明申请
    • Method and apparatus for organizing and optimizing content in dialog systems
    • 用于组织和优化对话系统内容的方法和装置
    • US20070078815A1
    • 2007-04-05
    • US11243599
    • 2005-10-04
    • Fuliang WengHeather Pon-Barry
    • Fuliang WengHeather Pon-Barry
    • G06F17/30
    • G06F17/30401G06F17/3064G06F17/30646G06F17/30654G06F17/30672G06F17/30976G06F17/30979G10L2015/221
    • Embodiments of a configurable content optimizer for use in dialog systems are described. In one embodiment, the content optimizer is a configurable component that acts as an intermediary between a dialog management module and a knowledge management module of a dialog system during the query process. The content optimizer module makes extensive use of the system ontology and organizes items returned by the knowledge base and makes adjustments to the query so that a reasonable number of responses are returned. Each query is broken down into a number of constraints, the constraints are characterized by type, and adjustments are made by strategies that include relaxing or tightening constraints in the query. Generic strategies for the potential adjustments are represented in a configurable manner so that the content optimizing module can be easily applied to new domains.
    • 描述在对话系统中使用的可配置内容优化器的实施例。 在一个实施例中,内容优化器是在查询过程期间充当对话系统的对话管理模块和知识管理模块之间的中介的可配置组件。 内容优化器模块广泛使用系统本体并组织知识库返回的项目,并对查询进行调整,以便返回合理数量的响应。 每个查询被分解成许多约束,约束由类型表征,并且通过包括在查询中放松或紧缩约束的策略进行调整。 潜在调整的通用策略以可配置的方式表示,使内容优化模块可以轻松应用于新域。