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    • 1. 发明授权
    • Speech recognition with parallel recognition tasks
    • 具有并行识别任务的语音识别
    • US08364481B2
    • 2013-01-29
    • US12166822
    • 2008-07-02
    • Brian StropeFrancoise BeaufaysOlivier Siohan
    • Brian StropeFrancoise BeaufaysOlivier Siohan
    • 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.
    • 除了别的以外,本说明书的主题可以体现在包括通过多个语音识别系统(SRS)接收音频信号和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,以及指示对语音结果的正确性置信度的置信度值。 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 的尚未完成生成识别结果的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。
    • 3. 发明申请
    • COMPUTING DEVICE WITH REMOTE CONTACT LISTS
    • 具有远程联系人列表的计算设备
    • US20120020254A1
    • 2012-01-26
    • US13249623
    • 2011-09-30
    • Brian StropeFrancoise BeaufaysHy Murveit
    • Brian StropeFrancoise BeaufaysHy Murveit
    • H04L12/08H04M1/658H04L12/16
    • 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。
    • 5. 发明授权
    • Adapting enhanced acoustic models
    • 适应增强的声学模型
    • US09263034B1
    • 2016-02-16
    • US12834981
    • 2010-07-13
    • Brian StropeDouglas H. Beeferman
    • Brian StropeDouglas H. Beeferman
    • G10L15/00G10L15/16G10L15/065G10L15/07
    • G10L15/01G10L15/065G10L15/07G10L15/10G10L17/02
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enhancing speech recognition accuracy. In one aspect, a method includes receiving voice queries, obtaining, for one or more of the voice queries, feedback information that references an action taken by a user that submitted the voice query after reviewing a result of the voice query, generating, for the one or more voice queries, a posterior recognition confidence measure that reflects a probability that the voice query was correctly recognized, wherein the posterior recognition confidence measure is generated based at least on the feedback information for the voice query, selecting a subset of the one or more voice queries based on the posterior recognition confidence measures, and adapting an acoustic model using the subset of the voice queries.
    • 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,用于增强语音识别精度。 一方面,一种方法包括:接收语音查询,为一个或多个语音查询获取反馈信息,所述反馈信息参考在查看语音查询的结果之后提交语音查询的用户采取的动作,为 一个或多个语音查询,反映语音查询被正确识别的概率的后验识别置信度量度,其中至少基于所述语音查询的反馈信息来生成所述后验识别置信度量度,选择所述语音查询的子集, 基于后验识别置信测量的更多语音查询,以及使用语音查询的子集来适应声学模型。