Amazon Technologies, Inc.

Monty Eich

Clare Elizabeth Veladanda

Tom Vessella

Gregg Taylor Lehman

Jatin Bajaj

Prashant J Thakare

Shiladitya Roy

Ratika Anand

Xu Zhang

Rohit Bhattacharjee

Nikhil Gupta

Genna Michelle Krecicki Moderhack

Example embodiments provide techniques for configuring a system to receive an input at a source device and present an output at another device within the same space as the source device. The output device may be selected based on various factors relating to the capabilities of the output device, the type of output responsive to the user input, whether the output device is active, whether the output device was recently used and others.

Output device selection

Devices and techniques are generally described for voice targeting of devices using content type. In various examples, a first natural language input comprising a first request to perform a first action related to first content may be received. A natural language understanding component may be used to determine first intent data representing a semantic interpretation of the first request, where the first intent data is effective to cause a first skill to perform the first action. A named entity recognition component may be used to determine first slot data included in the first request. The first slot data may identify the first content. First task data associated with the first content may be determined. The first task data may associate the first content with playback on a first device. First instructions effective to cause the first device to perform the first action may be sent to the first device.

Content-based voice targeting of devices using slot and task data

A speech-processing system may provide access to one or more skills via spoken commands and/or responses in the form of synthesized speech. The system may be capable of keeping one or more skills active in the background while a user interacts (e.g., provides inputs to and/or receives outputs from) with a skill running in the foreground. A background skill may receive some trigger data, and determine to request the system to return the background skill to the foreground to, for example, request a user input regarding an action previously requested by the user. In some cases, the user may invoke a background skill to continue a previous interaction. The system may return the background skill to the foreground. The resumed skill may continue a previous interaction to, for example, to query the user for instructions, provide an update or alert, or continue a previous output.

Task resumption in a natural understanding system

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San Jose, CA, United States of America

Monty Eich