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1. 发明授权

US08890926B2 Automatic identification and representation of most relevant people in meetings 有权
标题翻译：自动识别和代表最相关的人员参加会议
公开(公告)号：US08890926B2
公开(公告)日：2014-11-18
申请号：US13351159
申请日：2012-01-16
申请人： Ankit Tandon , Prarthana Panchal , Sarah Zuberec , Jason Tuck , Michael Hill , Andrew Davis , Santhosh Raman , Marcelo Ivan Garcia , Nicolae Velea
发明人： Ankit Tandon , Prarthana Panchal , Sarah Zuberec , Jason Tuck , Michael Hill , Andrew Davis , Santhosh Raman , Marcelo Ivan Garcia , Nicolae Velea
IPC分类号： H04N7/15 , H04L12/18
CPC分类号： H04N7/157 , H04L12/1827
摘要： The “relevant” participants for each person in an online meeting may be automatically identified and a personalized view created to dynamically represent these relevant people as the meeting progresses. Relevancy of participants may be determined based on a number of factors and data from a variety of sources at the initialization of the meeting or when the participant for whom the personalized view is created joins the meeting. The relevancy computation may be updated and the personalized view dynamically changed during the meeting based on changes in participants, their participation modality, and comparable factors.
摘要翻译：在线会议中的每个人的“相关”参与者可以被自动识别，并且在会议进行时动态地代表这些相关人员创建个性化视图。参与者的相关性可以根据会议初始化时的各种来源的多个因素和数据或者创建个性化视图的参与者加入会议来确定。相关性计算可以被更新，并且个性化视图在会议期间基于参与者的变化，参与模式和可比较因素动态地改变。

2. 发明申请

US20130106985A1 AUTOMATIC IDENTIFICATION AND REPRESENTATION OF MOST RELEVANT PEOPLE IN MEETINGS 有权
标题翻译：会议中最有意思的人的自动识别和表示
公开(公告)号：US20130106985A1
公开(公告)日：2013-05-02
申请号：US13351159
申请日：2012-01-16
申请人： Ankit Tandon , Prarthana Panchal , Sarah Zuberec , Jason Tuck , Michael Hill , Andrew Davis , Santhosh Raman , Marcelo Ivan Garcia , Nicolae Velea
发明人： Ankit Tandon , Prarthana Panchal , Sarah Zuberec , Jason Tuck , Michael Hill , Andrew Davis , Santhosh Raman , Marcelo Ivan Garcia , Nicolae Velea
IPC分类号： H04N7/15
CPC分类号： H04N7/157 , H04L12/1827
摘要： The “relevant” participants for each person in an online meeting may be automatically identified and a personalized view created to dynamically represent these relevant people as the meeting progresses. Relevancy of participants may be determined based on a number of factors and data from a variety of sources at the initialization of the meeting or when the participant for whom the personalized view is created joins the meeting. The relevancy computation may be updated and the personalized view dynamically changed during the meeting based on changes in participants, their participation modality, and comparable factors.
摘要翻译：在线会议中的每个人的“相关”参与者可以被自动识别，并且在会议进行时动态地代表这些相关人员创建个性化视图。参与者的相关性可以根据会议初始化时的各种来源的多个因素和数据或者创建个性化视图的参与者加入会议来确定。相关性计算可以被更新，并且个性化视图在会议期间基于参与者的变化，参与模式和可比较因素动态地改变。

3. 发明申请

US20090234638A1 Use of a Speech Grammar to Recognize Instant Message Input 审中-公开
标题翻译：使用语音语法识别即时消息输入
公开(公告)号：US20090234638A1
公开(公告)日：2009-09-17
申请号：US12048839
申请日：2008-03-14
申请人： Vishwa Ranjan , Marcelo Ivan Garcia
发明人： Vishwa Ranjan , Marcelo Ivan Garcia
IPC分类号： G06F17/27 , G10L15/22
CPC分类号： G06F17/27 , G10L15/1822 , G10L15/19
摘要： In general, this disclosure describes techniques of using a grammar to identify concepts expressed by audio messages and text messages and to respond to the concepts expressed by the audio messages and the text messages. As described herein, a server may receive audio messages and text messages. The server may use the same grammar to identify concepts expressed in the audio messages and in the text messages. Consequently, there may be no need for different grammars to identify concepts expressed in audio messages and to identify concepts expressed in text messages. After the server identifies a concept expressed in either an audio message or a text message, the server may generate and send an audio message or a text message that includes a response that is responsive to a concept expressed in the audio message or the text message.
摘要翻译：通常，本公开描述了使用语法来识别由音频消息和文本消息表达的概念并且响应由音频消息和文本消息表达的概念的技术。如本文所述，服务器可以接收音频消息和文本消息。服务器可以使用相同的语法来识别在音频消息和文本消息中表达的概念。因此，可能不需要不同的语法来识别在音频消息中表达的概念，并且识别以文本消息表示的概念。在服务器识别在音频消息或文本消息中表示的概念之后，服务器可以生成并发送音频消息或文本消息，该消息包括响应于音频消息或文本消息中表达的概念的响应。

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