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公开(公告)号:US12019983B1
公开(公告)日:2024-06-25
申请号:US17360890
申请日:2021-06-28
Applicant: Amazon Technologies, Inc.
Inventor: Luyang Kong , Christoper Winestock , Parminder Bhatia , Meng Xiao Wang , Siddhi Pathak
IPC: G06F40/247 , G06F16/36 , G06F16/901 , G06N5/02 , G06N5/022
CPC classification number: G06F40/247 , G06F16/367 , G06F16/9024 , G06N5/02 , G06N5/022
Abstract: Techniques for generating a dataset from a knowledge graph are described. An exemplary method includes receiving a request to generate a dataset from a knowledge graph to be stored in the storage; generating a dataset comprising a plurality of mention-concept pairs from the knowledge graph according to the request based one or more of a synonym-based and graph-based evaluation of the knowledge graph and a custom ontology for the knowledge graph; and storing the generated dataset in the storage.
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公开(公告)号:US11869510B1
公开(公告)日:2024-01-09
申请号:US17191538
申请日:2021-03-03
Applicant: Amazon Technologies, Inc.
Inventor: Joseph James Greene , Xiejia Zhang , Constantinos Papayiannis , Siddhi Pathak
Abstract: Described are systems, methods, and apparatus that detect keywords in one or more speech segments to authenticate that the speech is generated by the speaker as part of an intentional enrollment by the speaker into a service. For example, as a speech segment is received as part of an enrollment process, the speech segment may be converted into a log melspectrogram and the log melspectrogram may be processed using a machine learning model to determine if an expected keyword is represented by the log melspectrogram. If the keyword is detected, it may be determined that the speech output by the speaker is output as part of an intentional enrollment process.
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公开(公告)号:US11430467B1
公开(公告)日:2022-08-30
申请号:US17027509
申请日:2020-09-21
Applicant: Amazon Technologies, Inc.
Inventor: Naveenan Vasudevan , Girish Vuggina , Njenga Kariuki , Siddhi Pathak
Abstract: Disclosed are systems and methods for determining sentiment data representative of an emotional state of a user during an interaction with one or more non-users. The disclosed implementations may further determine, for frequent interactions between the user and a non-user, the identity of the non-user and provide information to the user relating to the sentiment of the user when interacting with the non-user.
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