公开(公告)号：US09384273B1

公开(公告)日：2016-07-05

申请号：US13827127

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Dominik Roblek ,  Matthew Sharifi

IPC: G06F17/00 ,  G06F17/30 ,  G10L19/02

CPC classification number: G06F17/30743 ,  G10L19/02 ,  G10L21/06 ,  G10L25/51 ,  G06F17/30758

Abstract: Systems and methods are provided herein relating to audio matching. In addition to interest points, localized patches surrounding interest points can be used as additional discriminative information. The patches can be compressed to increase scalability while retaining discriminative information related to the localized region within the patch. Compressed patches related to interest points of an audio sample can be compared to compressed patches related to interest points of a reference sample to determine whether the two samples are a match.

Abstract translation: 本文提供了与音频匹配有关的系统和方法。 除兴趣点之外，围绕兴趣点的局部补丁可用作额外的辨别信息。 可以压缩补丁以增加可扩展性，同时保留与补丁内的局部区域相关的区别性信息。 与音频样本的兴趣点相关的压缩补丁可以与与参考样本的兴趣点相关的压缩补丁进行比较，以确定两个样本是否匹配。

公开(公告)号：US20160147789A1

公开(公告)日：2016-05-26

申请号：US14981733

申请日：2015-12-28

Applicant: Google Inc.

Inventor： Matthew Sharifi ,  Annie Chen ,  Dominik Roblek

IPC: G06F17/30

CPC classification number: G06F17/30241 ,  G06F17/3053 ,  G06F17/30817 ,  G06F17/30867 ,  G06F17/3087 ,  G06Q10/0637 ,  G09B29/006 ,  G09B29/007

Abstract: This disclosure relates to dynamic display of content consumption by geographic location. A processor recognizes content being consumed by a set of users, and identifies geographic locations of the consumption and a set of characteristics associated with the consumption. The processor further determines at least one filter for a user of the set of users and filters the set of consumption characteristics based on the at least one filter.The processor further ranks respective consumed content based on a filtered set of consumption characteristics, and displays to the user subsets of the consumed content according to respective rankings and geographic location.

Abstract translation: 本公开涉及通过地理位置动态显示内容消费。 处理器识别由一组用户消费的内容，并且识别消费的地理位置和与消费相关联的一组特征。 所述处理器进一步确定所述用户组的用户的至少一个过滤器，并且基于所述至少一个过滤器对所述一组消费特征进行过滤。 处理器基于经滤波的消费特征集进一步排列相应的消费内容，并且根据相应的排名和地理位置向消费内容的用户子集显示。

公开(公告)号：US20150317281A1

公开(公告)日：2015-11-05

申请号：US14265868

申请日：2014-04-30

Applicant: Google Inc.

Inventor： Matthew Sharifi ,  Dominik Roblek

IPC: G06F17/16 ,  G06F17/15

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。

公开(公告)号：US20150279374A1

公开(公告)日：2015-10-01

申请号：US14447115

申请日：2014-07-30

Applicant: Google Inc.

Inventor： Dominik Roblek ,  Matthew Sharifi

IPC: G10L17/24

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。

公开(公告)号：US09123330B1

公开(公告)日：2015-09-01

申请号：US13875001

申请日：2013-05-01

Applicant: Google Inc.

Inventor： Matthew Sharifi ,  Dominik Roblek

IPC: G10L17/00 ,  G10L15/00 ,  G10L21/00 ,  G10L25/00 ,  G06F3/00 ,  G06F3/048 ,  H04H60/32 ,  H04N7/173 ,  G10L19/018 ,  G06F17/30 ,  G06F21/16

CPC classification number: G10L17/00 ,  G06F17/30017 ,  G06F17/30026 ,  G06F17/30746 ,  G06F17/30749 ,  G06F17/30769 ,  G06F17/30864 ,  G06F21/16 ,  G10L25/51

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving audio data encoding ambient sounds, identifying media content that matches the audio data, and a timestamp corresponding to a particular portion of the identified media content, identifying a speaker associated with the particular portion of the identified media content corresponding to the timestamp, and providing information identifying the speaker associated with the particular portion of the identified media content for output.

Abstract translation: 方法，系统和装置，包括编码在计算机存储介质上的计算机程序，用于接收编码环境声音的音频数据，识别与音频数据匹配的媒体内容以及对应于所识别的媒体内容的特定部分的时间戳， 与所标识的媒体内容的与时间戳对应的特定部分相关联的扬声器，以及提供标识与所识别的媒体内容的特定部分相关联的扬声器的信息以供输出。

公开(公告)号：US09069849B1

公开(公告)日：2015-06-30

申请号：US13648472

申请日：2012-10-10

Applicant: Google Inc.

Inventor： Dominik Roblek ,  Gheorghe Postelnicu ,  Matthew Sharifi

IPC: G06F17/00 ,  G06F17/30 ,  G10L21/04

CPC classification number: G06F17/30743 ,  G10L21/04 ,  G10L25/51

Abstract: Systems and methods are provided herein relating to speed resistant audio matching. Descriptors can be generated for a received audio signal and matched with reference descriptors. A set of hits for respective reference samples can be generated based on the matching. A histogram can then be generated that correlates probe sample hit time with reference sample hit time. In one implementation, a rolling window can be used in analyzing the histogram allowing for slight variances in the timing between probe sample hits and reference sample hits. In another implementation, the histogram generated can be based on an estimated time stretch of the probe sample. In yet another implementation, a set of histograms can be generated based on a minimum speed change, a maximum speed change, and a speed step. Histograms can be evaluated to determine a most likely matching histogram.

Abstract translation: 本文提供了与耐速度音频匹配相关的系统和方法。 可以为接收到的音频信号生成描述符，并与参考描述符匹配。 可以基于匹配来生成针对各个参考样本的一组命中。 然后可以生成将探针样品命中时间与参考样品命中时间相关联的直方图。 在一个实施方式中，可以使用滚动窗口来分析直方图，从而可以在探针样品命中和参考样品命中之间的时间上有轻微的变化。 在另一实施方案中，生成的直方图可以基于探测样本的估计时间延长。 在又一实现中，可以基于最小速度变化，最大速度变化和速度步长来生成一组直方图。 可以对直方图进行评估，以确定最可能的匹配直方图。

公开(公告)号：US09008490B1

公开(公告)日：2015-04-14

申请号：US13776017

申请日：2013-02-25

Applicant: Google Inc.

Inventor： Matthew Sharifi ,  Dominik Roblek ,  Vera Dron ,  Ioannis Agiomyrgiannakis

IPC: H04N5/92 ,  G06F17/30

CPC classification number: G06F17/3082 ,  G06F17/30758 ,  G06F17/30787 ,  G10H1/0008 ,  G10H1/368 ,  G10H2240/075 ,  G10H2240/135 ,  G10H2240/141

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting, from among a collection of videos, a set of candidate videos that (i) are identified as being associated with a particular song, and (ii) are classified as a cappella video recordings; extracting, from each of the candidate videos of the set, a monophonic melody line from an audio channel of the candidate video; selecting, from among the set of candidate videos, a subset of the candidate videos based on a similarity of the monophonic melody line of the candidate videos of the subset with each other; and providing, to a recognizer that recognizes songs from sounds produced by a human voice, (i) an identifier of the particular song, and (ii) one or more of the monophonic melody lines of the candidate videos of the subset.

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，用于从视频集合中选择一组候选视频，所述一组候选视频被识别为与特定歌曲相关联，以及（ii） 被列为无伴奏视频录像; 从所述候选视频的音频频道中提取来自所述组的每个候选视频的单声道旋律线; 基于所述子集的候选视频的单声道旋律线的相似度，从所述一组候选视频中选择所述候选视频的子集; 以及提供识别器，其识别由人类声音产生的声音的歌曲，（i）特定歌曲的标识符，以及（ii）该子集的候选视频的一个或多个单声道旋律线。

公开(公告)号：US20170357718A1

公开(公告)日：2017-12-14

申请号：US15689092

申请日：2017-08-29

Applicant: GOOGLE INC.

Inventor： Dominik Roblek ,  Matthew Sharifi

IPC: G06F17/30 ,  G10L25/54

CPC classification number: G06F17/30743 ,  G06F17/30758 ,  G06F17/30769 ,  G10L25/54

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.

公开(公告)号：US09741348B2

公开(公告)日：2017-08-22

申请号：US15191886

申请日：2016-06-24

Applicant: Google Inc.

Inventor： Dominik Roblek ,  Matthew Sharifi

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

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.

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。