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    MULTIPLE SPEECH LOCALE-SPECIFIC HOTWORD CLASSIFIERS FOR SELECTION OF A SPEECH LOCALE
    101.
    发明申请
    MULTIPLE SPEECH LOCALE-SPECIFIC HOTWORD CLASSIFIERS FOR SELECTION OF A SPEECH LOCALE 审中-公开

    公开(公告)号：US20170140756A1

    公开(公告)日：2017-05-18

    申请号：US15410732

    申请日：2017-01-19

    Applicant: Google Inc.

    Inventor： Matthew Sharifi

    IPC: G10L15/22 ,  G10L15/32 ,  G10L15/02 ,  G10L15/00 ,  G10L15/08

    CPC classification number: G10L15/22 ,  G10L15/005 ,  G10L15/02 ,  G10L15/08 ,  G10L15/26 ,  G10L15/32 ,  G10L2015/088 ,  G10L2015/223

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for recognizing speech in an utterance. The methods, systems, and apparatus include actions of receiving an utterance and obtaining acoustic features from the utterance. Further actions include providing the acoustic features from the utterance to multiple speech locale-specific hotword classifiers. Each speech locale-specific hotword classifier (i) may be associated with a respective speech locale, and (ii) may be configured to classify audio features as corresponding to, or as not corresponding to, a respective predefined term. Additional actions may include selecting a speech locale for use in transcribing the utterance based on one or more results from the multiple speech locale-specific hotword classifiers in response to providing the acoustic features from the utterance to the multiple speech locale-specific hotword classifiers. Further actions may include selecting parameters for automated speech recognition based on the selected speech locale.

    NOTIFICATION BUNDLES FOR AFFINITIES BETWEEN NOTIFICATION DATA
    102.
    发明申请
    NOTIFICATION BUNDLES FOR AFFINITIES BETWEEN NOTIFICATION DATA 有权

    公开(公告)号：US20170126609A1

    公开(公告)日：2017-05-04

    申请号：US14932915

    申请日：2015-11-04

    Applicant: Google Inc.

    Inventor： Matthew Sharifi ,  Jakob Nicolaus Foerster

    IPC: H04L12/58 ,  G08B5/22

    CPC classification number: H04L51/24 ,  G06F9/542 ,  G08B5/222

    Abstract: In some examples, a method includes receiving, first notification data from a first application and second notification data from a second application. The method may include generating, based at least in part on comparing the first notification data to the second notification data, an affinity score that indicates whether content from the first notification data has a relationship to at least a portion of content from the second notification data. The method may include, generating a bundle notification graphical element that includes at least a portion of the content from the first notification data and a graphical indicator that indicates the content from the first and second notification data are related. The method may include outputting a set of notification graphical elements comprising the bundle notification graphical element accompanied by the graphical indicator.

    HOTWORD RECOGNITION
    103.
    发明申请
    HOTWORD RECOGNITION 有权

    公开(公告)号：US20170110123A1

    公开(公告)日：2017-04-20

    申请号：US15176482

    申请日：2016-06-08

    Applicant: Google Inc.

    Inventor： Matthew Sharifi ,  Jakob Nicolaus Foerster

    IPC: G10L15/22 ,  G10L15/08 ,  G10L15/02 ,  G10L25/51

    CPC classification number: G10L15/22 ,  G06F21/31 ,  G06F21/32 ,  G10L15/02 ,  G10L15/08 ,  G10L15/1815 ,  G10L17/08 ,  G10L25/51 ,  G10L2015/088 ,  G10L2015/223

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving audio data corresponding to an utterance, determining that the audio data corresponds to a hotword, generating a hotword audio fingerprint of the audio data that is determined to correspond to the hotword, comparing the hotword audio fingerprint to one or more stored audio fingerprints of audio data that was previously determined to correspond to the hotword, detecting whether the hotword audio fingerprint matches a stored audio fingerprint of audio data that was previously determined to correspond to the hotword based on whether the comparison indicates a similarity between the hotword audio fingerprint and one of the one or more stored audio fingerprints that satisfies a predetermined threshold, and in response to detecting that the hotword audio fingerprint matches a stored audio fingerprint, disabling access to a computing device into which the utterance was spoken.

    Generating correlation scores
    105.
    发明授权
    Generating correlation scores 有权
    产生相关分数

    公开(公告)号：US09569405B2

    公开(公告)日：2017-02-14

    申请号：US14265868

    申请日：2014-04-30

    Applicant: Google Inc.

    Inventor： Matthew Sharifi ,  Dominik Roblek

    IPC: G06F17/15 ,  G06F17/16

    CPC classification number: G06F17/15 ,  G06F17/16

    Abstract: A computer-implemented method includes obtaining first and second binary vectors. For each of a plurality of vector locations in a first of j words in the first binary vector, the method includes shifting the binary values for the second binary vector so that a particular one of the binary values in the second binary vector is located at a vector location in a first of the k words in the second binary vector that matches the vector location in the first of j words in the first binary vector. For each of the j words in the first binary vector, the method includes aligning the second binary vector with the word in the first binary vector and determining a binary correlation score. A similarity of the first binary vector and the second binary vector can be determined based at least on one or more of the determined binary correlation scores.

    Abstract translation: 计算机实现的方法包括获得第一和第二二进制向量。 对于第一二进制向量中的j个字中的第一个中的多个向量位置中的每一个，所述方法包括移位第二二进制向量的二进制值，使得第二二进制向量中的二进制值中的特定一个位于 第二个二进制向量中的k个字中的第一个的向量位置与第一个二进制向量中的第一个j个字中的向量位置相匹配。 对于第一二进制向量中的每个j个字，所述方法包括将第二二进制向量与第一二进制向量中的单词进行对齐并确定二进制相关分数。 可以至少基于所确定的二进制相关分数中的一个或多个来确定第一二进制向量和第二二进制向量的相似性。

    Promoting voice actions to hotwords
    106.
    发明授权
    Promoting voice actions to hotwords 有权
    促进语音动作到热门词汇

    公开(公告)号：US09542942B2

    公开(公告)日：2017-01-10

    申请号：US15003055

    申请日：2016-01-21

    Applicant: Google Inc.

    Inventor： Matthew Sharifi

    IPC: G10L15/00 ,  G10L15/22 ,  G10L15/08 ,  G10L17/22 ,  G10L15/26

    CPC classification number: G10L15/22 ,  G10L15/02 ,  G10L15/063 ,  G10L15/08 ,  G10L15/265 ,  G10L15/285 ,  G10L17/22 ,  G10L2015/088 ,  G10L2015/223

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designating certain voice commands as hotwords. The methods, systems, and apparatus include actions of receiving a hotword followed by a voice command. Additional actions include determining that the voice command satisfies one or more predetermined criteria associated with designating the voice command as a hotword, where a voice command that is designated as a hotword is treated as a voice input regardless of whether the voice command is preceded by another hotword. Further actions include, in response to determining that the voice command satisfies one or more predetermined criteria associated with designating the voice command as a hotword, designating the voice command as a hotword.

    Abstract translation: 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，用于将某些语音命令指定为热词。 方法，系统和装置包括接收随后的语音命令的热门词汇的动作。 附加动作包括确定语音命令满足与指定语音命令相关联的一个或多个预定准则作为热门词，其中指定为热门词汇的语音命令被视为语音输入，而不管语音命令是否在另一个之前 热门词 响应于确定语音命令满足与指定语音命令相关联的一个或多个预定标准作为热门词，响应于指定语音命令作为热门词语。

    Segment-Based Speaker Verification Using Dynamically Generated Phrases
    109.
    发明申请
    Segment-Based Speaker Verification Using Dynamically Generated Phrases 有权
    使用动态生成的短语进行基于段的扬声器验证

    公开(公告)号：US20160307574A1

    公开(公告)日：2016-10-20

    申请号：US15191886

    申请日：2016-06-24

    Applicant: Google Inc.

    Inventor： Dominik Roblek ,  Matthew Sharifi

    IPC: G10L17/24 ,  G10L15/02 ,  G10L17/04

    CPC classification number: G10L17/24 ,  G10L15/02 ,  G10L17/04 ,  G10L2015/025

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for verifying an identity of a user. The methods, systems, and apparatus include actions of receiving a request for a verification phrase for verifying an identity of a user. Additional actions include, in response to receiving the request for the verification phrase for verifying the identity of the user, identifying subwords to be included in the verification phrase and in response to identifying the subwords to be included in the verification phrase, obtaining a candidate phrase that includes at least some of the identified subwords as the verification phrase. Further actions include providing the verification phrase as a response to the request for the verification phrase for verifying the identity of the user.

    Abstract translation: 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，用于验证用户的身份。 方法，系统和装置包括接收用于验证用户身份的验证短语的请求的动作。 附加动作包括响应于接收到用于验证用户身份的验证短语的请求，识别要包括在验证短语中的子词，并且响应于识别要包括在验证短语中的子词，获得候选短语 其包括至少一些所识别的子词作为验证短语。 进一步的操作包括提供验证短语作为对用于验证用户身份的验证短语的请求的响应。

    MEDIA CONSUMPTION HISTORY
    110.
    发明申请
    MEDIA CONSUMPTION HISTORY 审中-公开

    公开(公告)号：US20160283486A1

    公开(公告)日：2016-09-29

    申请号：US15173794

    申请日：2016-06-06

    Applicant: Google Inc.

    Inventor： Matthew Sharifi

    IPC: G06F17/30

    CPC classification number: G06F17/30041 ,  G06F17/30026 ,  G06F17/30029 ,  G06F17/30035 ,  G06F17/30044 ,  G06F17/30424 ,  G06F17/30477 ,  G06F17/3053 ,  G06F17/30746 ,  G06F17/30787 ,  G06F17/30867 ,  G06F17/30876 ,  G06Q30/0631 ,  G10L25/54

    Abstract: Methods, systems, and apparatus for receiving a request that includes a user identifier of a user that submitted a search query and an entity identifier of an entity that is referenced by the search query, identifying a plurality of knowledge elements that are related to the entity, identifying, in a consumption database, one or more items that have been indicated as consumed by the user and that are associated with the entity that is referenced by the search query, assigning rank scores to the plurality of knowledge elements, based at least on identifying the one or more items, selecting one or more of the knowledge elements from among the knowledge elements based at least on the rank scores assigned to the knowledge elements, and providing, in response to the request, information associated with the entity and the one or more selected knowledge elements.

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