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Patent Agency Ranking
公开(公告)号：US11626106B1
公开(公告)日：2023-04-11
申请号：US16800622
申请日：2020-02-25
Applicant: Amazon Technologies, Inc.
Abstract: A system is provided for determining which component of a speech processing system is the cause of an undesired response to a user input. The system processes ASR data and NLU data to determine the component likely to cause the undesired response. Based on which component is the cause of the undesired response, the system performs an appropriate conversation recovery technique to confirm the speech processing results with the user.
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公开(公告)号：US12008985B2
公开(公告)日：2024-06-11
申请号：US16907680
申请日：2020-06-22
Applicant: Amazon Technologies, Inc.
Inventor： Qiaozi Gao , Divyanshu Brijmohan Verma , Govindarajan Sundaram Thattai , Qing Ping , Joel Joseph Chengottusseriyil , Ivan Vitomir Stojanovic , Feiyang Niu , Gokhan Tur , Charles J Allen
CPC classification number: G10L15/1815 , G10L15/1822 , G10L15/22 , G10L15/26 , G10L13/08 , G10L2015/223 , G10L2015/225 , G10L2015/227 , G10L2015/228
Abstract: Devices and techniques are generally described for learning personalized responses to declarative natural language inputs. In various examples, a first natural language input may be received. The first natural language input may correspond to intent data corresponding to a declarative user input. In some examples, a dialog session may be initiated with the first user. An action intended by the first user for the first natural language input may be determined based at least in part on the dialog session. In various examples, first data representing the action may be stored in association with second data representing a state described by at least a portion of the first natural language input.
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公开(公告)号：US12002458B1
公开(公告)日：2024-06-04
申请号：US17012257
申请日：2020-09-04
Applicant: Amazon Technologies, Inc.
Inventor： Qiaozi Gao , Govindarajan Sundaram Thattai , Qing Ping , Joel Joseph Chengottusseriyil , Feiyang Niu , Gokhan Tur , Dilek Hakkani-Tur
IPC: G10L15/22
CPC classification number: G10L15/22
Abstract: A device capable of autonomous motion may move in an environment and may receive audio data from a microphone. If the device receives a command represented in the audio data that is absent from a set of known commands, the device may prompt the user to explain how to perform the command. The device may save a command template corresponding to the command, which may be used to perform future commands.
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公开(公告)号：US11978437B1
公开(公告)日：2024-05-07
申请号：US17119099
申请日：2020-12-11
Applicant: Amazon Technologies, Inc.
Inventor： Govindarajan Sundaram Thattai , Qing Ping , Feiyang Niu , Joel Joseph Chengottusseriyil , Prashanth Rajagopal , Qiaozi Gao , Aishwarya Naresh Reganti , Gokhan Tur , Dilek Hakkani-Tur , Rohit Prasad , Premkumar Natarajan
CPC classification number: G10L15/1815 , G06F16/22 , G06F21/6218 , G10L15/22 , G10L15/30 , G10L15/1822 , G10L15/183 , G10L15/19 , G10L2015/223
Abstract: Devices and techniques are generally described for learning personalized concepts for natural language processing. In various examples, a first natural language input may be received. In some examples, a determination may be made that the first natural language input comprises non-actionable slot data. A dialog session may be initiated with the user. In some examples, first slot data that is indicated by the user during the dialog session may be determined. In various examples, data representing the first slot data may be stored in a database in association with the first natural language input.
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公开(公告)号：US20210398524A1
公开(公告)日：2021-12-23
申请号：US16907680
申请日：2020-06-22
Applicant: Amazon Technologies, Inc.
Inventor： Qiaozi Gao , Divyanshu Brijmohan Verma , Govindarajan Sundaram Thattai , Qing Ping , Joel Joseph Chengottusseriyil , Ivan Vitomir Stojanovic , Feiyang Niu , Gokhan Tur , Charles J. Allen
Abstract: Devices and techniques are generally described for learning personalized responses to declarative natural language inputs. In various examples, a first natural language input may be received. The first natural language input may correspond to intent data corresponding to a declarative user input. In some examples, a dialog session may be initiated with the first user. An action intended by the first user for the first natural language input may be determined based at least in part on the dialog session. In various examples, first data representing the action may be stored in association with second data representing a state described by at least a portion of the first natural language input.
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