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    • 41. 发明申请
    • Automated call router for business directory using the World Wide Web
    • 使用万维网的企业目录的自动呼叫路由器
    • US20070005585A1
    • 2007-01-04
    • US11194853
    • 2005-08-01
    • Junlan FengMazin GilbertNarendra Gupta
    • Junlan FengMazin GilbertNarendra Gupta
    • G06F17/30
    • H04M7/0015H04M7/003
    • The embodiments include a system, a computer readable medium, and a method for establishing a communication connection after searching the World Wide Web for relevant phone information. The system can include a first communication device for forming at least one communication connection between the first communication device and a second communication device, search means adapted to accept a query, access means adapted to (i) search and identify relevant phone number information using the query (ii) create at least one icon to link the first communication device to a relevant phone number included in the relevant phone number information identified by the query, and (iii) reformulate the query if no relevant phone numbers are identified during the search. The system also includes click-to-dial means adapted to establish at least one communication connection from the first communication device to the second communication device.
    • 这些实施例包括系统,计算机可读介质和在搜索万维网之后建立通信连接以获得相关电话信息的方法。 该系统可以包括用于在第一通信设备和第二通信设备之间形成至少一个通信连接的第一通信设备,适于接受查询的搜索设备,适于(i)使用 查询(ii)创建至少一个图标以将第一通信设备链接到由查询识别的相关电话号码信息中包括的相关电话号码,以及(iii)如果在搜索期间没有识别出相关的电话号码,则重新组织查询。 该系统还包括适于建立从第一通信设备到第二通信设备的至少一个通信连接的点击拨号装置。
    • 47. 发明授权
    • System and method for supplemental speech recognition by identified idle resources
    • 通过识别的闲置资源补充语音识别的系统和方法
    • US08346549B2
    • 2013-01-01
    • US12631131
    • 2009-12-04
    • Andrej LjoljeMazin Gilbert
    • Andrej LjoljeMazin Gilbert
    • G10L15/00
    • G10L15/00G10L15/285G10L15/32
    • Disclosed herein are systems, methods, and computer-readable storage media for improving automatic speech recognition performance. A system practicing the method identifies idle speech recognition resources and establishes a supplemental speech recognizer on the idle resources based on overall speech recognition demand. The supplemental speech recognizer can differ from a main speech recognizer, and, along with the main speech recognizer, can be associated with a particular speaker. The system performs speech recognition on speech received from the particular speaker in parallel with the main speech recognizer and the supplemental speech recognizer and combines results from the main and supplemental speech recognizer. The system recognizes the received speech based on the combined results. The system can use beam adjustment in place of or in combination with a supplemental speech recognizer. A scheduling algorithm can tailor a particular combination of speech recognition resources and release the supplemental speech recognizer based on increased demand.
    • 本文公开了用于改善自动语音识别性能的系统,方法和计算机可读存储介质。 实施该方法的系统识别空闲语音识别资源,并且基于总体语音识别需求在空闲资源上建立补充语音识别器。 补充语音识别器可以与主语音识别器不同,并且与主语音识别器一起可以与特定扬声器相关联。 该系统与主语音识别器和辅助语音识别器并行地执行从特定扬声器接收的语音的语音识别,并且组合来自主语音识别器和补充语音识别器的结果。 系统基于组合的结果识别接收到的语音。 该系统可以使用波束调整来代替或与补充语音识别器组合。 调度算法可以定制语音识别资源的特定组合,并且基于增加的需求来释放补充语音识别器。
    • 49. 发明申请
    • SYSTEM AND METHOD FOR GENERATING MODELS FOR USE IN AUTOMATIC SPEECH RECOGNITION
    • 用于生成用于自动语音识别的模型的系统和方法
    • US20120101817A1
    • 2012-04-26
    • US12908222
    • 2010-10-20
    • John MOCENIGOMazin GilbertHeather Wighton
    • John MOCENIGOMazin GilbertHeather Wighton
    • G10L15/00
    • G10L15/063G10L2015/0638
    • Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating a model for use with automatic speech recognition. These principles can be implemented as part of a streamlined tool for automatic training and tuning of speech, or other, models with a fast turnaround and with limited human involvement. A system configured to practice the method receives, as part of a request to generate a model, input data and a seed model. The system receives a cost function indicating accuracy and at least one of speed and memory usage, The system processes the input data based on seed model and based on parameters that optimize the cost function to yield an updated model, and outputs the updated model.
    • 这里公开了用于生成用于自动语音识别的模型的系统,方法和非暂时的计算机可读存储介质。 这些原则可以作为精简工具的一部分,用于自动训练和调整语音或其他模型,具有快速的周转时间和人力参与有限。 配置为练习该方法的系统作为生成模型的请求的一部分接收输入数据和种子模型。 系统接收指示精度和速度和存储器使用中的至少一个的成本函数。系统基于种子模型处理输入数据,并且基于优化成本函数以产生更新模型的参数,并输出更新的模型。
    • 50. 发明申请
    • System And Method Of Generating Responses To Text-Based Messages
    • 生成对基于文本的消息的响应的系统和方法
    • US20120065963A1
    • 2012-03-15
    • US13300752
    • 2011-11-21
    • Srinivas BangaloreMazin GilbertNarendra Gupta
    • Srinivas BangaloreMazin GilbertNarendra Gupta
    • G06F17/27
    • G06F17/2785
    • In accordance with one aspect of the present invention, an automated method of and system for generating a response to a text-based natural language message is disclosed. The method includes identifying a first selected input clause in a sentence in the text-based natural language message. Also, assigning a semantic tag to the first selected input clause and matching the semantic tag to a historical input tag. The historical input tag associated with a first previously generated response clause. Further; generating an output response message based on the historical response clause, the output response message derived from the historical input tag and a second previously generated response clause. The system includes means for performing the method steps.
    • 根据本发明的一个方面,公开了一种用于生成对基于文本的自然语言消息的响应的自动化方法和系统。 该方法包括识别基于文本的自然语言消息中的句子中的第一选择的输入子句。 此外,将语义标签分配给第一选择的输入子句并将语义标签与历史输入标签进行匹配。 与先前生成的第一个响应子句相关联的历史输入标签。 进一步; 基于历史响应子句生成输出响应消息,从历史输入标签导出的输出响应消息和第二个先前生成的响应子句。 该系统包括用于执行方法步骤的装置。