Amazon Technologies, Inc.

Dts, Inc.

Limelight Networks, Inc.

Brandon John Smith

Jon Robert Ducrou

Erik Joseph Miller

David Mayr Lerner

Kenneth O Sanders, Ii

Aaron Kube Warner

Sean Cassidy

Marcus Albert Barry

Christopher Michael Brennan

Jeff Thompson

Jean-Marc Jot

Gadiel Seroussi

Zoran Fejzo

Jeffrey Kenneth Thompson

Spencer Proffit

Sunil Kumar Garg

Michael M Goodwin

Robert Lovejoy Goodwin

Ryan Justin Snodgrass

Bradley Jeffery Behm

Kenneth Paul Kiraly

John Lattyak

Gregg Elliott Zehr

Richard L Moore

Thomas A Ryan

Beryl Tomay

Michael V Rykov

James C Slezak

Kevin R Cheung

Aviram Zagorie

Ajay M Desai

Brent Eric Wood

Michael Asavareungchai

Pavel Chubarev

Jon Saxton

Martin Goerner

Mohar H Bhise

Eloy Geenjaar

Teodora Ceanga

Eli Hoku Robinson

Huw Morgan

Pavel Snagovsky

Nicholas Beaudrot

Max Slade

Andrew Budker

Timothy M Garcia

Michael John Kobit

Jean-Mar Jot

Aaron Warner

Marcus A Barry

Christopher M Brennan

Ii Kenneth O Sanders

Xiaotian Guo

Neil C Roseman

Thomas M Fruchterman

Tim Tan

Girish Bajaj

Embodiments of systems and methods for user enrollment in speaker authentication and speaker identification systems are disclosed. In some embodiments, the enrollment process includes collecting speech samples that are examples of multiple speech types spoken by a user, computing a speech representation for each speech sample, and aggregating the example speech representations to form a robust overall representation or user voiceprint of the user's speech.

Multi-stage speaker enrollment in voice authentication and identification

An audio encoder can parse a digital audio signal into a plurality of frames, each frame including a specified number of audio samples, perform a transform of the audio samples of each frame to produce a plurality of frequency-domain coefficients for each frame, partition the plurality of frequency-domain coefficients for each frame into a plurality of bands for each frame, each band having bit data that represents a number of bits allocated for the band, and encode the digital audio signal and difference data to a bit stream (e.g., an encoded digital audio signal). The difference data can produce the full bit data when combined with estimate data that can be computed from data present in the bit stream. The difference data can be compressed to a smaller size than the full bit data, which can reduce the space required in the bit stream.

Encoding and decoding of digital audio signals using difference data

A computing device receives, from one or more user accounts in a group of user accounts, display information associated with presentation of data associated with a media item and generated in association with a first user account on user devices associated with the one or more user accounts in the group. The computing device generates a report comprising statistics associated with display of the data, wherein the statistics are determined from the display information and comprise an amount of time for which the data was presented on the user devices associated with the one or more user accounts in the group.

Distributing data to groups of user devices

Loudness control systems or methods may normalize audio signals to a predetermined loudness level. If the audio signal includes moderate background noise, then the background noise may also be normalized to the target loudness level. Noise signals may be detected using content-versus-noise classification, and a loudness control system or method may be adjusted based on the detection of noise. Noise signals may be detected by signal analysis in the frequency domain or in the time domain. Loudness control systems may also produce undesirable audio effects when content shifts from a high overall loudness level to a lower overall loudness level. Such loudness drops may be detected, and the loudness control system may be adjusted to minimize the undesirable effects during the transition between loudness levels.

Loudness control with noise detection and loudness drop detection

Systems, devices, and methods are described herein for adjusting a relationship between dialog and non-dialog signals in an audio program. In an example, information about a long-term dialog balance for an audio program can be received. The long-term loudness dialog balance can indicate a dialog-to-non-dialog loudness relationship of the audio program. A dialog loudness preference can be received, such as from a user, from a database, or from another source. A desired long-term gain or attenuation can be determined according to a difference between the received long-term dialog balance for the audio program and the received dialog balance preference. The long-term gain or attenuation can be applied to at least one of the dialog signal and the non-dialog signal of the audio program to render an audio program that is enhanced according to the loudness preference.

Dialog audio signal balancing in an object-based audio program

Detection and prevention of unauthorized exchange of information between users of user devices is disclosed. Monitoring data associated with respective information received by the user devices from respective users may be received. Position information indicating proximity or relative positions of the devices may also be received. The monitoring data and/or the position information may be analyzed to determining whether unauthorized information exchange between users may be occurring. One or more metrics indicating a likelihood that unauthorized information exchange is occurring may be generated based on the analysis of the monitoring data and/or the position information. A generated metric may be compared to an associated threshold and preventive measures for deterring unauthorized information exchange may be identified based on a result of the comparison.

Detection of unauthorized information exchange between users

Some examples enable profile-based management of multiple communication channels and associated communication services on an electronic device. For example, role-based profiles may be used to manage and filter communications from various contacts. A profile may be set on the electronic device, such as in response to a user input, or automatically based on a determined context of the electronic device. For instance, the context may be determined from one or more of a physical location of the electronic device, a time of day, a day of the week, or a detected activity of the user. Further, some examples include a unified communication interface that may enable a user to select a contact to receive a communication, and the electronic device may select a communication channel for communicating with the selected contact based at least in part on the profile currently set for the electronic device.

Profile-based integrated messaging platform

One or more words at a specified location in an electronic document can be identified. The identified one or more words can be analyzed to determine one or more semantic meanings associated with the words. An audio clip (i.e., audio file, audio element) associated with or corresponding to (the semantic meaning(s) of) the one or more words can be searched for in an audio database. The search for the audio clip associated with the one or more words can utilize an index that specifies the associations between words and audio clips. In some embodiments, the audio clip can be played when an estimated location of where the user is reading is at or near the specified location of the one or more words. In some embodiments, the audio clip can be played when it is calculated that the user is reading the one or more words at the specified location.

Auditory enhancement using word analysis

Described are methods and systems of providing directed interaction from one or more presenter devices to one or more participant devices. Directed interaction allows one or more presenters to change application state, device settings, or both on the participant devices. Within the constraints imposed by the presenter device, the participant devices may be able to change content presentation, position, and so forth. The participant devices may also generate participant status data, which may be provided to the presenter devices.

Directed interaction of device

Text content embedded with multimedia content is provided from a content provider to a client device. The multimedia content may be provided to the client device separate from the text content. In particular, multimedia content metadata indicating a storage location of the multimedia content may be provided to the client device after the text content. The client device may request the multimedia content from the content provider based on the multimedia content metadata. The content provider may send the requested multimedia content to the client device after receiving an authenticated version of the multimedia content metadata.

Providing text content embedded with protected multimedia content

A system is described for managing storage and access of confidential data downloaded from a server (e.g., an enterprise data server) onto a mobile device. The confidential data may be received over a network directly or be embedded as part of an email or other application. Instead of storing the data item locally, the data item may be communicated to a peripheral device that is communicatively coupled to the mobile device via a peripheral interface. The data item is encrypted and stored on the peripheral device.

Confidential data access and storage

There is disclosed methods and apparatus for decomposing a signal having a plurality of channels into direct and diffuse components. The correlation coefficient between each pair of signals from the plurality of signals may be estimated. A linear system of equations relating the estimated correlation coefficients and direct energy fractions of each of the plurality of channels may be constructed. The linear system may be solved to estimate the direct energy fractions. A direct component output signal and a diffuse component output signal may be generated based in part on the direct energy fractions.

Direct-diffuse decomposition

A computing device generates a group of user devices. The computing device receives data associated with a media item from a first user device in the group. Responsive to determining that the first user device has data sharing privileges, the computing device transmits the data to one or more other user devices in the group.

This disclosure describes, in part, techniques for managing access to a fleet account of mobile electronic devices. For instance, an administrator of a business and educational institution may place an order with an offering service to purchase a large number of eBook reader devices. The offering service identifies that the business and educational institution is ordering a fleet of devices. Furthermore, each of the devices ordered are associated or registered to a managed or fleet account controlled by the administrator of the business and educational institution. The techniques described herein prevent an individual user of a fleet device from de-registering the device from the managed account, and also allow an account administrator to alter preferred settings of the managed account. Further, techniques are described for allowing a user of a device to opt-in or associate their device with the account.

Preventing deregistration from fleet accounts

Growing community of inventors

Seattle, WA, United States of America

Brandon John Smith