公开(公告)号：US10474750B1

公开(公告)日：2019-11-12

申请号：US15453391

申请日：2017-03-08

Applicant: Amazon Technologies, Inc.

Inventor： Kevin Michael McCormick ,  David Anthony Leen ,  Christopher Wiswall Greene

IPC: G06F17/27 ,  G06F17/22 ,  G06F17/21

Abstract: Techniques for parsing and execution of data including multiple information classes are described herein. In some examples, a collection of data may include multiple information classes through which the data may be parsed and analyzed. In some examples, the multiple information classes may include a textual character information class, a visual style information class, and an inferred information class, such as may include data identifiable based on information external to the data collection. A plurality of tokens associated with the data collection may be generated. One or more of the plurality of tokens may be organized into a set of instructions. The set of instructions may be provided to a computer program for execution.

公开(公告)号：US10956506B1

公开(公告)日：2021-03-23

申请号：US15617098

申请日：2017-06-08

Applicant: Amazon Technologies, Inc.

Inventor： Kevin Michael McCormick ,  Christopher Wiswall Greene ,  Alex Kharbush ,  David Anthony Leen

IPC: G06F17/00 ,  G06F7/00 ,  G06F16/9038 ,  G06F16/2457 ,  G06F16/903 ,  G06F3/0484 ,  G06F3/0486 ,  G06F40/211

Abstract: Techniques for query-based data modification are described herein. In some examples, a first search of searchable data may be performed based, at least in part, on a first query. A second search of the searchable data may be performed based, at least in part, on a second query. One or more results of the first search may be provided. Input may be received for associating a first result of the first search with the second search. At least a first modification, related to the input, to perform on the searchable data may then be determined. The first modification may then be performed on the searchable data.

公开(公告)号：US10706848B1

公开(公告)日：2020-07-07

申请号：US15968584

申请日：2018-05-01

Applicant: Amazon Technologies, Inc.

Inventor： Christopher Wiswall Greene ,  Krishnamurthy Ganesan ,  Kunal Chandha

IPC: G10L15/00 ,  G10L15/22 ,  G10L15/06 ,  G10L15/30 ,  G10L15/18 ,  G06N20/00 ,  G10L15/08

Abstract: A processing device receives a multi-dimensional input associated with audio data representing an utterance received by a speech-detection device, the multi-dimensional input comprising a speaker identifier (ID) of a speaker of the utterance and a device ID of the speech-detection device. The processing device processes the multi-dimensional input using a first machine learning model associated with at least one of the device ID or the speaker ID to determine a first anomaly rating for the utterance. The processing device determines that the first anomaly rating is above a first anomaly threshold. The processing device determines that the utterance is classified as an anomaly and performs a remedial action.