US 11,687,526 B1Granted

Identifying user content

AssigneeAmazon Technologies, Inc.

InventorsJose Alejandro Dario Santos, Corinne Russell, Nicholas Martin Peters, Jr., Catherine Michelle Loo

Life of this patent

Estimating the term…

Loading patent…

Abstract

This disclosure describes, in part, techniques for identifying user-specific content items and/or time-based content items, as well as techniques for providing the content items to the user. For instance, a remote system may receive first audio data from an electronic device, where the first audio data represents a request to identify content related to a topic. The remote system can then store the topic in a database and use the topic to identify the content. Later, the remote system can then receive second audio data from the electronic device, where the second audio data represents a request for the content. The remote system can then send third audio data to the electronic device that represents at least a portion of the content.

Claims19

Dependent claims

A system comprising:

one or more processors;
and
one or more computer-readable media storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
receiving, from an electronic device, first audio data representing a first utterance;
determining a first portion of the first utterance including a predefined phrase to store first content related to a first topic;
determining a second portion of the first utterance including the first topic;
storing data representing the first topic in a list of topics;
searching to identify content related to at least one topic stored in the list of topics;
storing content data representing identified content in association with the list of topics;
receiving, from the electronic device, second audio data representing a second utterance;
determining that the second utterance includes a request for content;
determining the first topic based at least in part on the request;
identifying the first content based at least in part on the first topic determined from the request;
and
sending the first content to the electronic device.

12 more elements

A method comprising:

receiving first audio data generated by an electronic device, the first audio data representing a first utterance;
determining a first portion of the first utterance including a predefined phrase to store first content related to a first topic;
determining a second portion of the first utterance including the first topic;
storing data representing the first topic in a list of topics;
searching to identify content related to at least one topic stored in the list of topics;
storing content data representing identified content in association with the list of topics;
receiving second audio data generated by the electronic device, the second audio data representing a second utterance;
determining that the second utterance includes a request for content;
determining the first topic based at least in part on the request;
determining the first content based at least in part on the first topic determined from the request;
and
sending the first content to the electronic device.

9 more elements

An electronic device:

one or more microphones;
one or more speakers;
one or more processors;
and
one or more computer-readable media storing instructions that, when executed by the one or more processors, cause the electronic device to perform operations comprising:
generating first audio data using the one or more microphones, the first audio data representing a first utterance;
determining a first portion of the first utterance including a predefined phrase to store first content related to a first topic;
determining a second portion of the first utterance including the first topic;
storing data representing the first topic in a list of topics;
searching to identify content related to at least one topic stored in the list of topics;
causing content data representing identified content to be stored in association with the list of topics;
generating second audio data using the one or more microphones, the second audio data representing a second utterance;
determining that the second utterance includes a request for content;
determining the first topic from the first topic determined from the request;
identifying the first content based at least in part on the first topic determined from the second utterance;
and
outputting the first content using the one or more speakers.

14 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/097,821Filed 13 Nov 2020 · continuation
Priority: 14 Dec 2017
Granted: 27 Jun 2023
Term ends: Not estimatedThe source records don’t support an estimate.

Classification7 codes

G06F 16/243
Query formulation: natural language query formulation
G06F 3/167
Sound input; Sound output: audio in a user interface, e.g. using voice commands for navigating, audio feedback
G10L 15/1815
Using natural language modelling: semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
G10L 15/22
Speech recognition: procedures used during a speech recognition process, e.g. man-machine dialogue