Amazon Technologies, Inc.

Other

John Joseph Dunne

Siddhartha Shankara Rao

Michael Klingbeil

Michael Mark Goodwin

Tobias DiPasquale

Giridhar Kalpathy Narayanan

Curtis Gill Hartmann

Arvindh Krishnaswamy

Ivan Marcin

Richard Newman

Ryan Steven McHarg

Abitha Padmanabhan

Nathan Bartholomew Thomas

Ajaykumar Selvaraj

Jennie Tietema

Eric D Cox

Jaroslav Skrickij

Thushara Paul

Amalavoyal Chari

Justin Rowe

Courtney Brian Schuett

Thomas S Orselli

Alex Snyatkov

Jade Yuk Yin Chan

Context data may be received corresponding to a first communication session that includes a first user and a second user that joins the first communication session on behalf of a customer account. The context data may be provided to the first user and the second user. The context data may be stored in a searchable data storage that stores a communication session context history for the customer account. Search requests may be received, from the customer account, for searching the communication session context history. Responses may be provided based at least part on the context data. The context data may include second session information for joining a second communication session between the first user and the second user. Requests to join the second communication session may be received based on the second session information, and the second communication session may be established between the first user and the second user.

Communication escalation for a communication session

A computing device may generate a first cryptographic key data for communicating with a second computing device. A computing device may receive, by a microphone of the computing device, a sound information, wherein the first sound information represents speech occurring during a multi-participant conversation. A computing device may generate a sound embedding using the sound information. A computing device may compare the sound embedding to each speaker embedding of a set of speaker embeddings stored in a memory of the computing device to generate a result. A computing device may identify, based on the result, a current active speaker. A computing device may generate a second cryptographic key data, based in part on a speaker embedding associated with the current active speaker.

Voice identification assisted end-to-end cryptography

Implementations for detecting interactive content shared during media conferences are described. Initially, a frame to be presented to one or more participants during a media conference is received. Next, interactive content within the frame is identified. A bounding perimeter surrounding the interactive content is determined. At least one action based on the type of interactive content is determined. The bounding perimeter is transmitted for the interactive content within a plurality of frames to enable the at least one action associated with the interactive content.

Detecting interactive content in a media conference

A videoconference among a plurality of participants may be hosted, wherein the plurality of participants comprise Internet Protocol (IP)-connected participants and a Public Switched Telephone Network (PSTN)-connected participant. The IP-connected participants may send and receive audio content and video content of the videoconference via IP-based connections. The PSTN-connected participant may send and receive the audio content of the videoconference via a PSTN connection. Additional content from the videoconference may also be transmitted to the PSTN-connected participant, for example as text messages via the PSTN connection. The additional content may include, for example, images of a videoconference screen share, chat posts, polls, and the like. Images may be transmitted in the additional content based on video status change events, such as switching slides or pages in a screen share. In some examples, bidirectional messaging may allow contents of text messages from the PSTN-connected user to be displayed in the videoconference.

Bidirectional videoconference-related messaging for public switched telephone network participants

Context data attachment for interface-based communication sessions

Implementations for compositing two input signals to form a higher quality signal are described. A first input signal is received from a first input device and a second input signal is received from a second input device. The first input signal and the second input signal are combined into a composite input signal. It is then determined that the composite input signal has a higher quality than either the first input signal or the second input signal individually. Based on that determination, the composite input signal is selected for use by the media conferencing service as part of a media conference.

Automatic signal composition for media conferences

Implementations for selecting an input device based on characteristics of the input signals from those input devices are described. A first input signal is received from a first input device of a participant device participating in a media conference and a second input signal is received from a second input device of the participant device. A first characteristic of the first input signal and a second characteristic of the second input signal are determined. The first characteristic is compared to the second characteristic. It is determined that a quality of the second input signal is greater than a quality of the first input signal based on comparing the first characteristic to the second characteristic. The second input device is selected based on determining that the quality of the second input signal is greater than the quality of the first input signal.

Automatic input device selection for media conferences

Implementations for determining content perception by a participant in a media session by analyzing content are described. A content signal, such as an audio signal or a video signal, is received during a media session. A transcript of the content can be determined. Feedback, such as a pre-determined phrase, related to content perception by a participant in the media session is determined using a learning algorithm at the device. Metadata regarding the media session is collected in response to the feedback related to the content perception. The indication of the feedback related to the content perception and the metadata regarding the media session is then sent. In response, one or more adjustments to the media session are received. The one or more adjustments to the media session can be determined based on the indication of the feedback related to the content perception, the metadata regarding the media session, and network performance information.

Determining content perception

A plurality of device-sharing participants may be detected that are participating in a videoconference via a shared computing device. The detecting of the plurality of device-sharing participants may be performed based, at least in part, on at least one of an audio analysis of captured audio from one or more microphones or a video analysis of captured video from one or more cameras. A plurality of participant connections corresponding to the plurality of device-sharing participants may be joined to the videoconference. Each of the plurality of participant connections may be identified within the videoconference using a respective name. A plurality of video streams and a plurality of audio streams corresponding to the plurality of participant connections may be transmitted, and the plurality of video streams and the plurality of audio streams may be presented to at least one other conference participant.

Separate representations of videoconference participants that use a shared device

Videoconference content sharing for public switched telephone network participants

Implementations for selecting hosting server(s) in a particular availability zone for a network service involving a plurality of participants is described. A request for a network service involving a plurality of nodes is received from a computing device associated with an organizer. Geographic locations of the plurality of nodes involved in the network service, the type of the network service, performance of a plurality of servers, and operational constraints of the plurality of servers are evaluated. At least two of the plurality of servers are located in different geographical locations. One or more of the plurality of servers to host the network service are selected based on the evaluation.

Selecting hosting servers for network services

This disclosure describes selecting the best hosting server(s) in a particular geographical location for the majority of participants in an interactive electronic activity. A request for an electronic interactive activity involving a plurality of nodes is received. At least one factor related to a plurality of potential servers is evaluated with respect to the plurality of nodes, where at least two of the plurality of potential servers are located in different geographical locations. Based at least in part on evaluating the factors, one or more of the potential servers is selected to host the electronic interactive activity, where the one or more of the potential servers selected are located in the same geographical location.

Selecting hosting servers for interactive electronic activities

Implementations for combining at least two video streams received from devices of a plurality of participants of a video conference into a composite video stream are described. A video conference including the video streams received from the devices of the plurality of participants is established. A capability associated with consuming at least two of the video streams is received from at least one of the devices. The at least two video streams are then combined into a composite video stream based on the capability associated with consuming the at least two video streams. The composite video stream is transmitted to the at least one of the devices.

Dynamic cloud video composition

Implementations for selecting processing settings based on a device characteristic are described. A content signal, such as an audio signal or a video signal, is received. A characteristic of an input device and/or an output device is then determined and one or more processing settings for processing the content signal are determined based on the characteristic of the input device and/or the output device. The content signal is then processed based on the one or more settings and the processed content signal is sent for output. Feedback regarding the quality of the processed content signal is received. If the quality of the processed content signal is unacceptable, then one or more of the signal processing settings can be changed by deactivating a setting or changing a parameter of a setting.

Perceived content quality through dynamic adjustment of processing settings

Implementations for combining a plurality of content based on instructions for a layout of a video conference are described. A video conference is established between a plurality of devices of participants of the video conference. First content is received from a device of the plurality of devices in the established video conference. Second content is also received. Instructions for a layout of the first content and the second content during the video conference is received. Based on the instructions for the layout, the first content and the second content are combined into a composite video stream. The composite video stream is saved or transmitted.

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Bremertom, WA, United States of America

John Joseph Dunne