Amazon Technologies, Inc.

Kevin Crews

Jonathan Alan Leblang

Milo Oostergo

James L Ford

Yu-Hsiang Cheng

Gary Zhong

Collin Charles Davis

Aakarsh Nair

Richard Christopher Green

Dick Clarence Hardt

Qi Zhou

Aaron Gowatch

Nicolas Cyril Guillaume

Ariya Rastrow

Roland Maximilian Rolf Maas

Cassity Barrows Queen

Andrew Oberlin

Veerdhawal Pande

Nicholas Matthew Jutila

Samarth Batra

Prasanna H Sridhar

Paul Anthony Bernhardt

Systems and methods are disclosed related to determining and providing contextual information associated with a meeting based in part by parsing text from a meeting invitation or calendar entry. A voice-capturing device may receive audio data before or during a meeting that includes an invocation phrase used to invoke a voice-based functionality. A response may be generated by the voice-capturing device or an associated service provider system based on the contextual information determined from the parsed meeting invitation and/or related sources.

Contextual parsing of meeting information

Methods, systems, and computer-readable media for voice-activated selective memory for voice-capturing devices are disclosed. A first voice input from a voice-capturing device is received, via a network, at a service provider environment comprising one or more services. The first voice input comprises one or more utterances from a user of the voice-capturing device. A representation of the first voice input is stored. A second voice input from the voice-capturing device is received, via the network, at the service provider environment. The second voice input represents a command to disregard the first voice input. Based on the second voice input, the representation of the first voice input is deleted.

Voice-activated selective memory for voice-capturing devices

Techniques for an interactive turn-based reading experience are described. A system may take turns reading content, such as a book, with a user. The system may process audio data representing a user reading a portion of the content, determine reading evaluation data, and determine how to proceed for the next turn based on the reading evaluation data. For example, based on the reading evaluation data, the system may read a portion of the content by outputting synthesized speech representing the content, may ask the user re-read a portion of the content, or may ask the user to read a different, smaller portion of the content.

Speech processing techniques

Systems and methods are provided for managing a conference call with multiple voice-enabled and voice-capturing devices, such as smart speakers. Reproduced, duplicate voice commands can cause unexpected results in a conference call. The voice commands can be determined to be received from the same conference call. A voice command for a particular voice-enabled device can be selected based on an energy level of an audio signal, event data, time data, and/or user identification.

Network conference management and arbitration via voice-capturing devices

Techniques for selecting a meeting to join in response to a voice command from a user are described herein. A user may utter a voice command to 'join my meeting' and, in response, the techniques may access a calendar associated with the user to identify the call-in information used to join the meeting. If the calendar indicates that the user is listed as an invitee for multiple meetings at the current time, then the techniques may analyze an array of criteria to determine which meeting the user most likely would like to join.

Selecting meetings based on input requests

Systems and methods are disclosed related to determining device settings for a meeting based in part by parsing text from a meeting invitation or calendar entry, and controlling one or more remotely controllable devices during the meeting according to the determined settings. Based on contextual information determined from a parsed meeting invitation and/or related sources, controllable devices such as remote-controllable window shades, lighting equipment, camera equipment, display screens and/or other in-room equipment may be automatically assigned to determined settings before or during an in-person meeting, conference call or videoconference.

Device control based on parsed meeting information

A system is provided that determines a location of a user based on various criteria. The system may detect the location of a user based on the location of the user's device, as determined using a beacon signal, and an expected location of the user's device, as determined using schedule information. The system may process data representing the user's device location and expected location using a model to determine a confidence that a user is at a particular location. Based on the determined location, the system may perform various actions.

Multi-factor location-based authentication

A system is provided that determines a location of a user based on various criteria. The system may detect the location of a user based on the location of the user's voice and the location of the user's device, as determined using a beacon signal. The system may process data representing the user's voice and device locations using a model to determine a confidence that a user is at a particular location. Based on the determined location, the system may perform various actions.

Growing community of inventors

Seattle, WA, United States of America

Kevin Crews