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31.发明申请公开(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
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。
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32.发明授权公开(公告)号：US09424846B2
公开(公告)日：2016-08-23
申请号：US14447115
申请日：2014-07-30
Applicant: Google Inc.
Inventor： Dominik Roblek , Matthew Sharifi
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。
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公开(公告)号：US09224385B1
公开(公告)日：2015-12-29
申请号：US13919170
申请日：2013-06-17
Applicant: Google Inc.
Inventor： Matthew Sharifi , Ben Shahshahani , Dominik Roblek
CPC classification number: G10L25/51 , G10H2210/046 , G10H2220/011 , G10H2240/141 , G10L15/26 , G10L21/10
Abstract: Methods, systems, and computer programs are presented for unified recognition of speech and music. One method includes an operation for starting an audio recognition mode by a computing device while receiving an audio stream. Segments of the audio stream are analyzed as the audio stream is received, where the analysis includes simultaneous checking for speech and music. Further, the method includes an operation for determining a first confidence score for speech and a second confidence score for music. As the audio stream is received, additional segments are analyzed until the end of the audio stream or until the first and second confidence scores indicate that the audio stream has been identified as speech or music. Further, results are presented on a display based on the identification of the audio stream, including text entered if the audio stream was speech or song information if the audio stream was music.
Abstract translation: 提出方法，系统和计算机程序，用于统一识别语音和音乐。 一种方法包括在接收音频流的同时由计算设备启动音频识别模式的操作。 当接收到音频流时，分析音频流的分段，其中分析包括语音和音乐的同时检查。 此外，该方法包括用于确定用于语音的第一可信度得分和用于音乐的第二可信度得分的操作。 当音频流被接收时，分析附加段直到音频流的结束，或者直到第一和第二置信度得分指示音频流已经被识别为语音或音乐。 此外，如果音频流是音乐，则在显示器上显示结果，该显示器基于音频流的标识，包括输入的文本，如果音频流是语音或歌曲信息。
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公开(公告)号：US10120934B2
公开(公告)日：2018-11-06
申请号：US15689092
申请日：2017-08-29
Applicant: GOOGLE INC.
Inventor： Dominik Roblek , Matthew Sharifi
Abstract: A method includes receiving, from an audio streaming system, a probe audio sample and identifying sufficiently matching reference audio samples based on a first comparison of a first portion of the probe audio sample to reference audio samples. The method also includes, in response to determining that the sufficiently matching reference audio samples do not meet a predetermined score threshold, retaining the sufficiently matching reference audio samples, identifying additional matching reference audio samples based on a second comparison a second portion of the probe audio sample to the reference audio samples, and outputting at least one of the reference audio samples based on the first comparison and the second comparison.
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公开(公告)号：US20180025734A1
公开(公告)日：2018-01-25
申请号：US15669701
申请日：2017-08-04
Applicant: Google Inc.
Inventor： Dominik Roblek , Matthew Sharifi
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.
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Patent Agency Ranking
公开(公告)号：US20170330071A1
公开(公告)日：2017-11-16
申请号：US15151374
申请日：2016-05-10
Applicant: Google Inc.
Inventor： Dominik Roblek , Matthew Sharifi
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for audio processing using neural networks. One of the systems includes multiple neural network layers, wherein the neural network system is configured to receive time domain features of an audio sample and to process the time domain features to generate a neural network output for the audio sample, the plurality of neural network layers comprising: a frequency-transform (F-T) layer that is configured to apply a transformation defined by a set of F-T layer parameters that transforms a window of time domain features into frequency domain features; and one or more other neural network layers having respective layer parameters, wherein the one or more neural network layers are configured to process frequency domain features to generate a neural network output.
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公开(公告)号：US09754026B2
公开(公告)日：2017-09-05
申请号：US15348776
申请日：2016-11-10
Applicant: Google Inc.
Inventor： Dominik Roblek , Matthew Sharifi
CPC classification number: G06F17/30743 , G06F17/30758 , G06F17/30769 , G10L25/54
Abstract: A matching system receives probe audio samples for comparison to references of a data store. Comparisons are generated between a first segment of a probe audio sample and corresponding time segments of a plurality of reference audio samples to identify a plurality of sufficiently matching reference audio samples based upon a first set of consistency scores. Matching references are retained, unless they meet a score threshold. Comparisons are continually generated with a second segment of the probe audio sample and corresponding time segments of the sufficiently matching reference audio samples to generate a second set of consistency scores. The retained results are outputted based on the first and second set of consistency scores.
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38.发明申请公开(公告)号：US20170061002A1
公开(公告)日：2017-03-02
申请号：US15348776
申请日：2016-11-10
Applicant: Google Inc.
Inventor： Dominik Roblek , Matthew Sharifi
CPC classification number: G06F17/30743 , G06F17/30758 , G06F17/30769 , G10L25/54
Abstract: A matching system receives probe audio samples for comparison to references of a data store. Comparisons are generated between a first segment of a probe audio sample and corresponding time segments of a plurality of reference audio samples to identify a plurality of sufficiently matching reference audio samples based upon a first set of consistency scores. Matching references are retained, unless they meet a score threshold. Comparisons are continually generated with a second segment of the probe audio sample and corresponding time segments of the sufficiently matching reference audio samples to generate a second set of consistency scores. The retained results are outputted based on the first and second set of consistency scores.
Abstract translation: 匹配系统接收探针音频样本，以便与数据存储的引用进行比较。 在探头音频样本的第一段和多个参考音频样本的相应时间段之间产生比较，以基于第一组一致性分数来识别多个充分匹配的参考音频样本。 匹配引用被保留，除非它们符合得分阈值。 通过探测音频样本的第二段和足够匹配的参考音频样本的对应时间段连续生成比较，以生成第二组一致性分数。 基于第一和第二组一致性分数输出保留的结果。
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公开(公告)号：US09508023B1
公开(公告)日：2016-11-29
申请号：US14257683
申请日：2014-04-21
Applicant: Google Inc.
Inventor： Matthew Sharifi , Sergey Ioffe , Jay Yagnik , Gheorghe Postelnicu , Dominik Roblek , George Tzanetakis
CPC classification number: G06K9/6267 , G06F17/3002 , G06F17/30244 , G06K9/00013
Abstract: This disclosure relates to transformation invariant media matching. A fingerprinting component can generate a transformation invariant identifier for media content by adaptively encoding the relative ordering of interest points in media content. The interest points can be grouped into subsets, and stretch invariant descriptors can be generated for the subsets based on ratios of coordinates of interest points included in the subsets. The stretch invariant descriptors can be aggregated into a transformation invariant identifier. An identification component compares the identifier against a set of identifiers for known media content, and the media content can be matched or identified as a function of the comparison.
Abstract translation: 本公开涉及变换不变媒体匹配。 指纹分量可以通过对媒体内容中的兴趣点的相对排序进行自适应编码来生成媒体内容的变换不变标识符。 可以将兴趣点分组为子集，并且可以基于子集中包括的兴趣点坐标的比例为子集生成拉伸不变描述符。 拉伸不变描述符可以聚合成变换不变标识符。 识别部件将标识符与已知媒体内容的一组标识符进行比较，并且媒体内容可以作为比较的函数进行匹配或标识。
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公开(公告)号：US09208225B1
公开(公告)日：2015-12-08
申请号：US13732030
申请日：2012-12-31
Applicant: Google Inc.
Inventor： Matthew Sharifi , Yaniv Bernstein , Dominik Roblek , Annie Chen , Matthew Wiseman
IPC: G06F17/30
CPC classification number: G06F17/30743 , G06F17/30017 , G06Q10/10 , G06Q30/0207 , G06Q30/0209 , G06Q50/01
Abstract: Apparatus, systems and methods provide incentive-based usage of an audio recognition system. In an aspect, a system is provided that includes a query component configured to receive an audio sample from a device and a recognition component configured to determine an identification of the audio sample. The system further includes a reward component configured to identify a reward associated with the identification of the audio sample, wherein the query component is further configured to provide a query result to the device, the query result comprising the identification of the audio sample and the reward associated therewith.
Abstract translation: 装置，系统和方法提供了基于激励的音频识别系统的使用。 在一方面，提供了一种系统，其包括被配置为从设备接收音频样本的查询组件和被配置为确定音频样本的标识的识别组件。 所述系统还包括被配置为识别与所述音频样本的识别相关联的奖励的奖励组件，其中所述查询组件还被配置为向所述设备提供查询结果，所述查询结果包括所述音频样本的标识和所述奖励 相关联。
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