公开(公告)号：US09877162B2

公开(公告)日：2018-01-23

申请号：US15290916

申请日：2016-10-11

Applicant: Google Inc.

Inventor： Daniel Mark Wyatt ,  Renaud Bourassa-Denis ,  Alexander Fabrikant ,  Tanmay Sanjay Khirwadkar ,  Prathab Murugesan ,  Galen Pickard ,  Jesse Rosenstock ,  Rob Schonberger ,  Anna Teytelman

IPC: H04W24/00 ,  H04W4/02

CPC classification number: H04W4/029

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

公开(公告)号：US09467815B2

公开(公告)日：2016-10-11

申请号：US14663494

申请日：2015-03-20

Applicant: Google Inc.

Inventor： Daniel Mark Wyatt ,  Renaud Bourassa-Denis ,  Alexander Fabrikant ,  Tanmay Sanjay Khirwadkar ,  Prathab Murugesan ,  Galen Emmanuel Pickard ,  Jesse Rosenstock ,  Rob Schonberger ,  Anna Teytelman

IPC: H04W24/00 ,  H04W4/02

CPC classification number: H04W4/029

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

Abstract translation: 提供了用于生成用户位置历史的系统和方法。 一个示例性方法包括从与用户相关联的一个或多个设备获得多个位置报告。 该方法包括聚集多个位置报告以形成多个段。 该方法包括识别多个片段中的每一个的多个位置实体。 所述方法包括为所述多个片段中的每一个确定与为所述片段标识的每个所述位置实体相关联的一个或多个特征值。 该方法包括至少部分地基于评分公式为多个区段中的每一个确定多个位置实体中的每一个的分数。 该方法包括为多个段中的每一个选择多个位置实体之一。

公开(公告)号：US09922138B2

公开(公告)日：2018-03-20

申请号：US14723305

申请日：2015-05-27

Applicant: Google Inc.

Inventor： Sangsoo Sung ,  Yuli Gao ,  Prathab Murugesan

IPC: G06F17/00 ,  G06F17/30 ,  G10L17/22 ,  G10L15/19 ,  G10L15/30 ,  G06F17/27

CPC classification number: G06F17/3097 ,  G06F17/271 ,  G06F17/274 ,  G06F17/30321 ,  G06F17/30395 ,  G06F17/30401 ,  G06F17/30684 ,  G10L15/19 ,  G10L15/30 ,  G10L17/22

Abstract: An offline semantic processor of a resource-constrained voice-enabled device such as a mobile device utilizes an offline grammar model with reduced resource requirements to parse voice-based queries received by the device. The offline grammar model may be generated from a larger and more comprehensive grammar model used by an online voice-based query processor, and the generation of the offline grammar model may be based upon query usage data collected from one or more users to enable a subset of more popular voice-based queries from the online grammar model to be incorporated into the offline grammar model. In addition, such a device may collect query usage data and upload such data to an online service to enable an updated offline grammar model to be generated and downloaded back to the device and thereby enable a dynamic update of the offline grammar model to be performed.

公开(公告)号：US20160351200A1

公开(公告)日：2016-12-01

申请号：US14723279

申请日：2015-05-27

Applicant: Google Inc.

Inventor： Sangsoo Sung ,  Yuli Gao ,  Prathab Murugesan

IPC: G10L17/22 ,  H04L29/06

CPC classification number: G10L17/22 ,  G10L15/30 ,  H04L67/42

Abstract: Data associated with a selectively offline capable voice action is locally persisted in a voice-enabled electronic device whenever such an action cannot be competed locally due to the device being offline to enable the action to later be completed after online connectivity has been restored. Synchronization with an online service and/or another electronic device, and/or retrieval of context sensitive data from an online service may be performed after online connectivity has been restored to enable the voice action to thereafter be completed.

Abstract translation: 与选择性离线功能的语音动作相关联的数据，只要这种动作由于设备脱机而无法在本地进行竞争，就会本地保留在支持语音的电子设备中，以便在线路连接恢复后，使之能够完成。 可以在恢复在线连接之后执行与在线服务和/或另一电子设备的同步，和/或从在线服务检索上下文敏感数据，以使之能够完成语音动作。

公开(公告)号：US10083697B2

公开(公告)日：2018-09-25

申请号：US14723279

申请日：2015-05-27

Applicant: Google Inc.

Inventor： Sangsoo Sung ,  Yuli Gao ,  Prathab Murugesan

IPC: G10L15/22 ,  G10L15/02 ,  G10L15/30 ,  G10L15/16 ,  G10L15/187 ,  H04M3/533 ,  G10L17/22 ,  H04L29/06

CPC classification number: H04L67/42 ,  G10L15/22 ,  G10L15/30

Abstract: Data associated with a selectively offline capable voice action is locally persisted in a voice-enabled electronic device whenever such an action cannot be competed locally due to the device being offline to enable the action to later be completed after online connectivity has been restored. Synchronization with an online service and/or another electronic device, and/or retrieval of context sensitive data from an online service may be performed after online connectivity has been restored to enable the voice action to thereafter be completed.

公开(公告)号：US20160350320A1

公开(公告)日：2016-12-01

申请号：US14723305

申请日：2015-05-27

Applicant: Google Inc.

Inventor： Sangsoo Sung ,  Yuli Gao ,  Prathab Murugesan

IPC: G06F17/30 ,  G10L17/22

CPC classification number: G06F17/3097 ,  G06F17/271 ,  G06F17/274 ,  G06F17/30321 ,  G06F17/30395 ,  G06F17/30401 ,  G06F17/30684 ,  G10L15/19 ,  G10L15/30 ,  G10L17/22

Abstract: An offline semantic processor of a resource-constrained voice-enabled device such as a mobile device utilizes an offline grammar model with reduced resource requirements to parse voice-based queries received by the device. The offline grammar model may be generated from a larger and more comprehensive grammar model used by an online voice-based query processor, and the generation of the offline grammar model may be based upon query usage data collected from one or more users to enable a subset of more popular voice-based queries from the online grammar model to be incorporated into the offline grammar model. In addition, such a device may collect query usage data and upload such data to an online service to enable an updated offline grammar model to be generated and downloaded back to the device and thereby enable a dynamic update of the offline grammar model to be performed.

Abstract translation: 诸如移动设备的资源受限制的语音设备的离线语义处理器利用具有减少的资源需求的离线语法模型来解析由设备接收的基于语音的查询。 离线语法模型可以由在线基于语音的查询处理器使用的较大且更全面的语法模型生成，并且离线语法模型的生成可以基于从一个或多个用户收集的查询使用数据，以使得子集 来自在线语法模型的更流行的基于语音的查询将被并入到离线语法模型中。 此外，这样的设备可以收集查询使用数据并且将这样的数据上传到在线服务以使得更新的离线语法模型被生成并被下载回设备，从而能够执行离线语法模型的动态更新。

公开(公告)号：US20150271645A1

公开(公告)日：2015-09-24

申请号：US14663494

申请日：2015-03-20

Applicant: Google Inc.

Inventor： Daniel Mark Wyatt ,  Renaud Bourassa-Denis ,  Alexander Fabrikant ,  Tanmay Sanjay Khirwadkar ,  Prathab Murugesan ,  Galen Emmanuel Pickard ,  Jesse Rosenstock ,  Rob Schonberger ,  Anna Teytelman

IPC: H04W4/02

CPC classification number: H04W4/029

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

Abstract translation: 提供了用于生成用户位置历史的系统和方法。 一个示例性方法包括从与用户相关联的一个或多个设备获得多个位置报告。 该方法包括聚集多个位置报告以形成多个段。 该方法包括识别多个片段中的每一个的多个位置实体。 所述方法包括为所述多个片段中的每一个确定与为所述片段标识的每个所述位置实体相关联的一个或多个特征值。 该方法包括至少部分地基于评分公式为多个区段中的每一个确定多个位置实体中的每一个的分数。 该方法包括为多个段中的每一个选择多个位置实体之一。

公开(公告)号：US09966073B2

公开(公告)日：2018-05-08

申请号：US14723250

申请日：2015-05-27

Applicant: Google Inc.

Inventor： Yuli Gao ,  Sangsoo Sung ,  Prathab Murugesan

IPC: G10L15/00 ,  G10L15/16 ,  G10L21/00 ,  G10L25/00 ,  G10L15/04 ,  G10L15/26 ,  H04N7/14 ,  G10L15/22 ,  G10L15/065 ,  G10L15/18 ,  G10L15/08

CPC classification number: G10L15/26 ,  G10L15/065 ,  G10L15/083 ,  G10L15/1822 ,  G10L15/22 ,  G10L2015/223 ,  G10L2015/228

Abstract: A voice to text model used by a voice-enabled electronic device is dynamically and in a context-sensitive manner updated to facilitate recognition of entities that potentially may be spoken by a user in a voice input directed to the voice-enabled electronic device. The dynamic update to the voice to text model may be performed, for example, based upon processing of a first portion of a voice input, e.g., based upon detection of a particular type of voice action, and may be targeted to facilitate the recognition of entities that may occur in a later portion of the same voice input, e.g., entities that are particularly relevant to one or more parameters associated with a detected type of voice action.

公开(公告)号：US09870196B2

公开(公告)日：2018-01-16

申请号：US14723324

申请日：2015-05-27

Applicant: Google Inc.

Inventor： Sangsoo Sung ,  Yuli Gao ,  Prathab Murugesan

IPC: G10L15/00 ,  G10L15/16 ,  G10L21/00 ,  G10L25/00 ,  G10L15/04 ,  G10L15/26 ,  H04N7/14 ,  G06F3/16 ,  H04L29/08 ,  H04L29/06 ,  G10L15/22 ,  G10L15/32 ,  G10L15/30 ,  G06F17/30

CPC classification number: G06F3/167 ,  G06F17/30 ,  G06F17/30663 ,  G10L15/22 ,  G10L15/26 ,  G10L15/30 ,  G10L15/32 ,  G10L2015/223 ,  H04L67/02 ,  H04L67/10 ,  H04L67/42 ,  H04M2250/74

Abstract: Online processing of a voice input directed to a voice-enabled electronic device is selectively aborted whenever it is determined that a voice input directed to the voice-enabled electronic device can be successfully processed locally by the device. Doing so may in some instances reduce the latency of responding to a voice input.

公开(公告)号：US20170034665A1

公开(公告)日：2017-02-02

申请号：US15290916

申请日：2016-10-11

Applicant: Google Inc.

Inventor： Daniel Mark Wyatt ,  Renaud Bourassa-Denis ,  Alexander Fabrikant ,  Tanmay Sanjay Khirwadkar ,  Prathab Murugesan ,  Galen Pickard ,  Jesse Rosenstock ,  Rob Schonberger ,  Anna Teytelman

IPC: H04W4/02

CPC classification number: H04W4/029

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

Abstract translation: 提供了用于生成用户位置历史的系统和方法。 一个示例性方法包括从与用户相关联的一个或多个设备获得多个位置报告。 该方法包括聚集多个位置报告以形成多个段。 该方法包括识别多个片段中的每一个的多个位置实体。 所述方法包括为所述多个片段中的每一个确定与为所述片段标识的每个所述位置实体相关联的一个或多个特征值。 该方法包括至少部分地基于评分公式为多个区段中的每一个确定多个位置实体中的每一个的分数。 该方法包括为多个段中的每一个选择多个位置实体之一。