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    • 5. 发明申请
    • COMPUTING DEVICE WITH REMOTE CONTACT LIST
    • 具有远程联系人列表的计算设备
    • WO2011119912A2
    • 2011-09-29
    • PCT/US2011/029917
    • 2011-03-25
    • GOOGLE INC.STROPE, BrianBEAUFAYS, FrancoiseMURVEIT, Hy
    • STROPE, BrianBEAUFAYS, FrancoiseMURVEIT, Hy
    • H04L61/106H04L12/66H04L51/28H04L51/32H04L51/36H04M1/7255H04M3/42102H04W4/16H04W8/183
    • In one implementation a computer-implemented method includes generating a group of telephone contacts for a first user, wherein the generating includes identifying a second user as a contact of the first user based upon a determination that the second user has at least a threshold email-based association with the first user; and adding the identified second user to the group of telephone contacts for the first user. The method further includes receiving a first request to connect a first telephone device associated with the first user to a second telephone device associated with the second user. The method also includes identifying a contact identifier of the second telephone device using the generated group of telephone contacts for the first user, and initiating a connection between the first telephone device and the second telephone device using the identified contact identifier.
    • 在一个实现中,计算机实现的方法包括为第一用户生成一组电话联系人,其中生成包括基于第二用户至少具有阈值电子邮件地址的确定来将第二用户识别为第一用户的联系人, 与第一个用户的关联; 以及将所识别的第二用户添加到第一用户的电话联系人组。 该方法还包括接收将与第一用户相关联的第一电话设备连接到与第二用户相关联的第二电话设备的第一请求。 该方法还包括使用生成的第一用户的电话联系人识别第二电话设备的联系人标识符,以及使用所识别的联系人标识符来启动第一电话设备和第二电话设备之间的连接。
    • 6. 发明申请
    • SPEECH RECOGNITION WITH PARALLEL RECOGNITION TASKS
    • 具有并行识别任务的语音识别
    • WO2010003109A2
    • 2010-01-07
    • PCT/US2009/049604
    • 2009-07-02
    • GOOGLE INC.STROPE, BrianBEAUFAYS, FrancoiseSIOHAN, Olivier
    • STROPE, BrianBEAUFAYS, FrancoiseSIOHAN, Olivier
    • G10L15/00
    • G10L15/32G10L15/00G10L15/01G10L15/26
    • The subject matter of this specification can be embodied in, among other things, a method that includes receiving an audio signal and initiating speech recognition tasks by a plurality of speech recognition systems (SRS's). Each SRS is configured to generate a recognition result specifying possible speech included in the audio signal and a confidence value indicating a confidence in a correctness of the speech result. The method also includes completing a portion of the speech recognition tasks including generating one or more recognition results and one or more confidence values for the one or more recognition results, determining whether the one or more confidence values meets a confidence threshold, aborting a remaining portion of the speech recognition tasks for SRS's that have not completed generating a recognition result, and outputting a final recognition result based on at least one of the generated one or more speech results.
    • 本说明书的主题可以包括包括接收音频信号并通过多个语音识别系统(SRS's)发起语音识别任务的方法。 每个SRS被配置为产生指定包括在音频信号中的可能语音的识别结果和指示语音结果的正确性的置信度的置信度值。 该方法还包括完成语音识别任务的一部分,包括生成一个或多个识别结果和一个或多个识别结果的一个或多个置信度值,确定一个或多个置信度值是否满足置信阈值,中止其余部分 的尚未完成产生识别结果的SRS的语音识别任务,并且基于所生成的一个或多个语音结果中的至少一个来输出最终识别结果。
    • 8. 发明申请
    • SPEECH TRANSCRIPTION INCLUDING WRITTEN TEXT
    • 语音转换,包括书面文字
    • WO2014085049A1
    • 2014-06-05
    • PCT/US2013/068908
    • 2013-11-07
    • GOOGLE INC.
    • SAK, HasimBEAUFAYS, Francoise
    • G06F17/27G10L15/26G10L15/183
    • G06F17/2775G10L15/083G10L15/187G10L15/197G10L15/26
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for transcribing utterances into written text are disclosed. The methods, systems, and apparatus include actions of obtaining a lexicon model that maps phones to spoken text and obtaining a language model that assigns probabilities to written text. Further includes generating a transducer that maps the written text to the spoken text, the transducer mapping multiple items of the written text to an item of the spoken text. Additionally, the actions include constructing a decoding network for transcribing utterances into written text, by composing the lexicon model, the inverse of the transducer, and the language model.
    • 公开了包括在计算机存储介质上编码的用于将话语转换成书面文本的计算机程序的方法,系统和装置。 方法,系统和装置包括获取将电话映射到口语文本并获得将概率分配给书写文本的语言模型的词典模型的动作。 还包括生成将书写文本映射到口语文本的传感器,换能器将多个文本文本项目映射到口语文本的项目。 此外,这些动作包括通过组合词典模型,换能器的倒数和语言模型来构建用于将话语转录成书写文本的解码网络。
    • 9. 发明申请
    • A METHOD AND SYSTEM FOR SPEECH SYNTHESIS FOR VOICE QUERIES
    • 用于语音查询的语音合成的方法和系统
    • WO2016167992A1
    • 2016-10-20
    • PCT/US2016/025687
    • 2016-04-01
    • GOOGLE INC.
    • PENG, FuchunFOERSTER, Jakob NicolausCASADO, Diego MelendoHUANG, FeiBEAUFAYS, Francoise
    • G10L15/22G10L13/033
    • G10L15/22G10L13/033G10L15/07G10L15/187G10L15/26G10L2015/221G10L2015/225
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting notifications in an enterprise system. In one aspect, a method include actions of obtaining a template that defines (i) trigger criteria for presenting a notification type and (ii) content rules for determining content to include in a notification of the notification type. Additional actions include accessing enterprise resources of an enterprise, the enterprise resources including data describing entities related to the enterprise and relationships among the entities. Further actions include, accessing user information specific to a user and determining that the trigger criteria is satisfied by the enterprise resources and the user information. Additional actions include generating a particular notification of the notification type based at least on the content rules and providing the particular notification to the user.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于在企业系统中呈现通知。 一方面,一种方法包括获取定义(i)触发呈现通知类型的标准的模板的动作,以及(ii)用于确定内容的内容规则以包括在通知类型的通知中。 其他行动包括访问企业的企业资源,企业资源,包括描述与企业相关的实体的数据和实体之间的关系。 进一步的操作包括访问用户特有的用户信息,并确定触发条件由企业资源和用户信息来满足。 附加动作包括至少基于内容规则生成通知类型的特定通知,并向用户提供特定通知。
    • 10. 发明申请
    • LEARNING PERSONALIZED ENTITY PRONUNCIATIONS
    • 学习个性化的实体
    • WO2017136028A1
    • 2017-08-10
    • PCT/US2016/063316
    • 2016-11-22
    • GOOGLE INC.
    • BRUGUIER, Antoine JeanPENG, FuchunBEAUFAYS, Francoise
    • G10L15/065
    • G10L15/063G10L15/065G10L15/26G10L2015/0635G10L2015/0636
    • Methods, systems, and apparatus, including computer programs encoded on a computer-storage medium, for implementing a pronunciation dictionary. The method includes receiving audio data corresponding to an utterance that includes a command and an entity name. Additionally, the method may include generating, by an automated speech recognizer, an initial transcription for a portion of the audio data that is associated with the entity name, receiving a corrected transcription for the portion of the utterance that is associated with the entity name, obtaining a phonetic pronunciation that is associated with the portion of the audio data that is associated with the entity name, updating a pronunciation dictionary to associate the phonetic pronunciation with the entity name, receiving a subsequent utterance that includes the entity name, and transcribing the subsequent utterance based at least on the updated pronunciation dictionary. Improved speech recognition and more higher quality transcription can be provided.
    • 包括编码在计算机存储介质上的用于实现发音字典的计算机程序的方法,系统和装置。 该方法包括接收对应于包括命令和实体名称的话语的音频数据。 另外,该方法可以包括由自动语音识别器产生与实体名称相关联的音频数据的一部分的初始转录,接收与实体名称相关联的话语部分的校正转录, 获得与所述音频数据的与所述实体名称相关联的部分相关联的语音发音;更新发音词典以将所述语音发音与所述实体名称相关联;接收包括所述实体名称的后续发音;以及转录所述后续发音 至少基于更新后的发音词典进行话语。 可以提供改进的语音识别和更高质量的转录。