公开(公告)号：US09619470B2

公开(公告)日：2017-04-11

申请号：US14172770

申请日：2014-02-04

Applicant: Google Inc.

Inventor： David Alexander Ross ,  Christopher Tim Althoff ,  Huazhong Ning ,  Mohamad Tarifi ,  Douglas Eck

IPC: G06F17/30

CPC classification number: G06F17/30029 ,  G06F17/30 ,  G06F17/30038 ,  G06F17/30053 ,  G06F17/3053

Abstract: A user feedback module, executable by a processing device from memory is disclosed. The user feedback module receives from a user device a selection of a seed media item. The seed media item includes a seed label. The user feedback module further generates a list, the list includes the seed label and a set of related labels based on the seed label. The seed label and each related label include a separate label weight. The user feedback module also identifies multiple media items associated with an associate label. The associate label includes at least one of the seed label or a related label of the first set of related labels. The user feedback module also transmits to the user device a first media item from the multiple media items. The user feedback module adjusts the label weight of the associate label based on a user feedback on the first media item.

公开(公告)号：US20150220525A1

公开(公告)日：2015-08-06

申请号：US14172770

申请日：2014-02-04

Applicant: Google Inc.

Inventor： David Alexander Ross ,  Christopher Tim Althoff ,  Huazhong Ning ,  Mohamad Tarifi ,  Douglas Eck

IPC: G06F17/30

CPC classification number: G06F17/30029 ,  G06F17/30 ,  G06F17/30038 ,  G06F17/30053 ,  G06F17/3053

Abstract: A user feedback module, executable by a processing device from memory is disclosed. The user feedback module receives from a user device a selection of a seed media item. The seed media item includes a seed label. The user feedback module further generates a list, the list includes the seed label and a set of related labels based on the seed label. The seed label and each related label include a separate label weight. The user feedback module also identifies multiple media items associated with an associate label. The associate label includes at least one of the seed label or a related label of the first set of related labels. The user feedback module also transmits to the user device a first media item from the multiple media items. The user feedback module adjusts the label weight of the associate label based on a user feedback on the first media item.

Abstract translation: 公开了一种由处理装置从存储器执行的用户反馈模块。 用户反馈模块从用户设备接收种子媒体项的选择。 种子媒体项目包括种子标签。 用户反馈模块进一步生成列表，该列表基于种子标签包括种子标签和一组相关标签。 种子标签和每个相关标签包括单独的标签重量。 用户反馈模块还识别与关联标签相关联的多个媒体项目。 相关标签包括第一组相关标签的种子标签或相关标签中的至少一个。 用户反馈模块还向多个媒体项目向用户设备发送第一媒体项目。 用户反馈模块基于用户对第一媒体项目的反馈来调整关联标签的标签权重。

公开(公告)号：US10122983B1

公开(公告)日：2018-11-06

申请号：US13786395

申请日：2013-03-05

Applicant: Google Inc.

Inventor： David Ross ,  Hrishikesh Aradhye ,  Douglas Eck ,  Christopher Tim Althoff

IPC: H04N9/802 ,  G11B27/00 ,  G11B27/022 ,  G11B27/031 ,  G06F17/30

Abstract: Systems and methods described herein relate to automation of video creation for an associated audio file or musical composition. In particular, a video can be generated for the audio file that includes images and videos that are compelling and contextually relevant to, and technically compatible with, the audio file.

公开(公告)号：US10068557B1

公开(公告)日：2018-09-04

申请号：US15684537

申请日：2017-08-23

Applicant: Google Inc.

Inventor： Jesse Engel ,  Mohammad Norouzi ,  Karen Simonyan ,  Adam Roberts ,  Cinjon Resnick ,  Sander Etienne Lea Dieleman ,  Douglas Eck

IPC: G10H1/00 ,  G06N3/08 ,  G06N3/04 ,  G10H7/12

Abstract: The present disclosure provides systems and methods that include or otherwise leverage a machine-learned neural synthesizer model. Unlike a traditional synthesizer which generates audio from hand-designed components like oscillators and wavetables, the neural synthesizer model can use deep neural networks to generate sounds at the level of individual samples. Learning directly from data, the neural synthesizer model can provide intuitive control over timbre and dynamics and enable exploration of new sounds that would be difficult or impossible to produce with a hand-tuned synthesizer. As one example, the neural synthesizer model can be a neural synthesis autoencoder that includes an encoder model that learns embeddings descriptive of musical characteristics and an autoregressive decoder model that is conditioned on the embedding to autoregressively generate musical waveforms that have the musical characteristics one audio sample at a time.

公开(公告)号：US20170177572A1

公开(公告)日：2017-06-22

申请号：US15453156

申请日：2017-03-08

Applicant: Google Inc.

Inventor： David Alexander Ross ,  Christopher Tim Althoff ,  Huazhong Ning ,  Mohamad Tarifi ,  Douglas Eck

IPC: G06F17/30

CPC classification number: G06F16/435 ,  G06F16/00 ,  G06F16/24578 ,  G06F16/4387 ,  G06F16/48

Abstract: The user feedback module receives from a user device a selection of a seed media item. The seed media item includes a seed label. The user feedback module further generates a list, the list includes the seed label and a set of related labels based on the seed label. The seed label and each related label include a separate label weight. The user feedback module also identifies multiple media items associated with an associate label. The associate label includes at least one of the seed label or a related label of the first set of related labels. The user feedback module also transmits to the user device a first media item from the multiple media items. The user feedback module adjusts the label weight of the associate label based on a user feedback on the first media item.

公开(公告)号：US08798438B1

公开(公告)日：2014-08-05

申请号：US13708647

申请日：2012-12-07

Applicant: Google Inc.

Inventor： Jay Yagnik ,  Douglas Eck

IPC: H04N5/92

CPC classification number: H04N21/47217 ,  G11B27/034 ,  G11B27/10 ,  G11B27/28 ,  G11B27/34 ,  H04N21/233 ,  H04N21/23418 ,  H04N21/26258

Abstract: A computing system may process a plurality of audiovisual files to determine a mapping between audio characteristics and visual characteristics. The computing system may process an audio playlist to determine audio characteristics of the audio playlist. The computing system may determine, using the mapping, visual characteristics that are complementary to the audio characteristics of the audio playlist. The computing system may search a plurality of images to find one or more image(s) that have the determined visual characteristics. The computing system may link or associate the one or more image(s) that have the determined visual characteristics to the audio playlist such that the one or more images are displayed on a screen of the computing device during playback of the audio playlist.

Abstract translation: 计算系统可以处理多个视听文件以确定音频特征和视觉特征之间的映射。 计算系统可以处理音频播放列表以确定音频播放列表的音频特性。 计算系统可以使用映射来确定与音频播放列表的音频特性相互补充的视觉特征。 计算系统可以搜索多个图像以找到具有确定的视觉特征的一个或多个图像。 计算系统可以将具有确定的视觉特征的一个或多个图像链接或关联到音频播放列表，使得一个或多个图像在播放音频播放列表期间在计算设备的屏幕上显示。

公开(公告)号：US08666749B1

公开(公告)日：2014-03-04

申请号：US13744222

申请日：2013-01-17

Applicant: Google Inc.

Inventor： Amarnag Subramanya ,  Jennifer Gillenwater ,  Garth Griffin ,  Fernando Pereira ,  Douglas Eck

IPC: G10L11/00

CPC classification number: G06F17/30743

Abstract: The disclosure includes a system and method for generating audio snippets from a subset of audio tracks. In some embodiments an audio snippet is an audio summary of a group or collection of songs.

Abstract translation: 本公开包括用于从音频子集的子集产生音频片段的系统和方法。 在一些实施例中，音频片段是组或歌曲集合的音频摘要。

公开(公告)号：US09235552B1

公开(公告)日：2016-01-12

申请号：US13705951

申请日：2012-12-05

Applicant: Google Inc.

Inventor： Douglas Eck ,  Jay Yagnik

IPC: G06F17/00

CPC classification number: G06F17/00 ,  G10H1/0041 ,  G10H2240/175 ,  G10H2240/211 ,  G10H2240/251

Abstract: Techniques are disclosed for producing a collaborative recording of an audio event. An online server or service identifies participating mobile devices with recording capabilities that are available for recording at least a portion of the audio event. The online server or service determines the locations of the potential participating mobile devices, and identifies ranges of frequencies to be recorded by each of the participating mobile devices. The individual recordings are then compiled into a final collaborative recording.

Abstract translation: 公开了用于产生音频事件的协同记录的技术。 在线服务器或服务识别具有可用于记录音频事件的至少一部分的记录功能的参与移动设备。 在线服务器或服务确定潜在参与移动设备的位置，并且识别由每个参与移动设备记录的频率范围。 然后，个别录音将被编译成最终的合作录音。

公开(公告)号：US20150242750A1

公开(公告)日：2015-08-27

申请号：US14188086

申请日：2014-02-24

Applicant: Google Inc.

Inventor： John Roberts Anderson ,  Ryan Michael Rifkin ,  Douglas Eck

IPC: G06N5/04

CPC classification number: G06Q30/0631 ,  G06F16/3347

Abstract: An asymmetric system for obtaining recommendations is disclosed. A reference magnitude may be obtained from a seed and/or a user model. The reference magnitude may be utilized to adjust the magnitude of candidate vectors that represent one or more items in a multi-dimensional vector space. This permits an item to receive credit for a popularity up to a certain point. The dot products between the adjusted candidate vectors and the seed vector may be obtained and, in some configurations, ranked. The highest dot products may correspond to items that are preferred to be recommended according to an implementation.

Abstract translation: 公开了一种用于获得建议的不对称系统。 可以从种子和/或用户模型获得参考幅度。 可以利用参考幅度来调整表示多维向量空间中的一个或多个项目的候选向量的大小。 这允许项目在一定程度上获得受欢迎程度的信用。 可以获得调整后的候选向量与种子向量之间的点积，并且在一些配置中可以进行排名。 最高点产品可以对应于根据实施方案推荐推荐的项目。

公开(公告)号：US10430452B2

公开(公告)日：2019-10-01

申请号：US15453156

申请日：2017-03-08

Applicant: Google Inc.

Inventor： David Alexander Ross ,  Christopher Tim Althoff ,  Huazhong Ning ,  Mohamad Tarifi ,  Douglas Eck

IPC: G06F16/435 ,  G06F16/00 ,  G06F16/48 ,  G06F16/2457 ,  G06F16/438

Abstract: The user feedback module receives from a user device a selection of a seed media item. The seed media item includes a seed label. The user feedback module further generates a list, the list includes the seed label and a set of related labels based on the seed label. The seed label and each related label include a separate label weight. The user feedback module also identifies multiple media items associated with an associate label. The associate label includes at least one of the seed label or a related label of the first set of related labels. The user feedback module also transmits to the user device a first media item from the multiple media items. The user feedback module adjusts the label weight of the associate label based on a user feedback on the first media item.