Amazon Technologies, Inc.

Joseph James Greene

Paul Aksenti Savastinuk

Michael Dillon

Michael Lee Sandige

Siddhi Pathak

Matthew Mitgang

Charles Winn Degranville

Jason A Rhoads

Xiejia Zhang

Christina Alexandra Polyukh

Da Wang

Daniel Larkin

Ruchi Jiwrajka

Lance Dayton Byrd

Christopher Richard Kruse

Steven Xiang Chen

Constantinos Papayiannis

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.

Authentication of intended speech as part of an enrollment process

Systems and techniques for detecting events involving users that occurred at an inventory location, and then using the events to determines states of the inventory location at various times. For instance, a system may generate event data representing first events that occur within an inventory location. The first events may include an associate performing a task, a customer removing an item, a customer returning an item, and/or so forth. The system may then use the event data to determine a state of the inventory location during a second event. In some examples, the state may include a tidy state or an untidy state. If the state includes a tidy state, then the system may generate a listing of items that includes at least one item associated with the second event. However, if the state includes an untidy state, then the system may further process the second event.

Analysis of events for state detection

A flexible tagging and searching system can be configured to associate tags with the input data to enable a search of the input data. The flexible tagging and searching system can receive user data and determine an identifier associated with the user data. The system can compare the identifier with other identifiers to determine that the identifier is unique. After determining that the identifier is unique, the system can associate a critical tag with the user data and store the critical tag in a database. Then the system can associate a non-critical tag with the user data. In some instances, the system can return query results such as a set of tag data and/or a set of data items.

Flexible tagging and searching system

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Seattle, WA, United States of America

Joseph James Greene