Abstract: Systems and methods are disclosed herein for identifying users based on voice data and media consumption data. A media guidance application may generate a voice signature from the user's input and based on that signature identify some demographic characteristics of the user (e.g., age, gender, and other suitable characteristics). The media guidance application may retrieve user data for users that are associated with a household of the user and attempt to identify which of the users spoke the command. If multiple users are identified, based on the demographic characteristics, the media guidance application may use the content of the voice command (e.g., a type of media requested) to identify the user.

Abstract: Systems and methods are described herein for determining a level of user engagement based on user interactions. A media guidance application is configured to retrieve a first record of a first plurality of user inputs, including input type, received during consumption of a media asset. A second time interval, prior to the first time interval, is selected by shifting the first start time and the first end time. A second record of a second plurality of user inputs received during the second time interval, including input type, is retrieved. A first media asset consumed during the first time interval and a second media asset consumed during the second time interval are determined, and the level of user engagement for the first media asset is determined based on the first record and the second record.

Abstract: Display tiles comprising pixel elements on a first surface of a substrate connected by an electrode, a driver located opposite the first surface, and a connector wrapped around an edge surface of the substrate connecting the driver to the pixel elements. Displays comprised of display tiles and methods of manufacturing display tiles and displays are also disclosed.

Abstract: Methods, systems, and apparatus for performing speech recognition. In some implementations, acoustic data representing an utterance is obtained. The acoustic data corresponds to time steps in a series of time steps. One or more computers process scores indicative of the acoustic data using a recurrent neural network to generate a sequence of outputs. The sequence of outputs indicates a likely output label from among a predetermined set of output labels. The predetermined set of output labels includes output labels that respectively correspond to different linguistic units and to a placeholder label that does not represent a classification of acoustic data. The recurrent neural network is configured to use an output label indicated for a previous time step to determine an output label for the current time step. The generated sequence of outputs is processed to generate a transcription of the utterance, and the transcription of the utterance is provided.

Abstract: Systems and methods are presented herein for recording portions of a media asset relevant to recording criteria. A media application receives input indicating the recording criteria and identifying a first keyword. The media application accesses a data structure to identify a first node associated with the first keyword. The data structure includes the first node and a plurality of nodes connected to the first node via a plurality of paths. The media application receiving audio component data for a portion of the media asset extracts a term from the audio component data, and identifies a second node in the data structure that is associated with the extracted term. The media application calculates a path score for the portion of the media asset based on a path size in the data structure between the first node and the second node. When the score is high enough, the portion of the media asset is recorded.

Abstract: A functional laminated glass article includes: a backer substrate; a flexible glass substrate comprising a thickness of no greater than 300 ?m, and laminated to the backer substrate with an adhesive; a plurality of conductive traces disposed on one or both of the backer substrate and the flexible glass substrate; and a plurality of electronic device elements disposed between the backer substrate and the flexible glass substrate and in contact with the plurality of conductive traces. Further, the adhesive encapsulates the conductive traces and the electronic device elements between the backer substrate and the flexible glass substrate.

Abstract: Described herein are scintillation detectors such as alpha- and beta-particle scintillation detectors along with methods of preparing and using such detectors. The scintillation detector comprises a protective layer including light-blocking nanoparticles.

Abstract: A method of performing ion exchange of a thin, flexible glass substrate having an average thickness equal to or less than about 0.3 mm to chemically strengthen the glass substrate is disclosed. The chemically strengthened glass substrate comprises a first compressive stress layer having a first depth of layer, and a second compressive stress layer having a second depth of layer, the first and second stress layers being separated by a layer of tensile stress. A laminated article comprising the chemically strengthened glass substrate is also described.

Abstract: A system for generating an output audio signal includes a context encoder, a text-prediction network, and a text-to-speech (TTS) model. The context encoder is configured to receive one or more context features associated with current input text and process the one or more context features to generate a context embedding associated with the current input text. The text-prediction network is configured to process the current input text and the context embedding to predict, as output, a style embedding for the current input text. The style embedding specifies a specific prosody and/or style for synthesizing the current input text into expressive speech. The TTS model is configured to process the current input text and the style embedding to generate an output audio signal of expressive speech of the current input text. The output audio signal has the specific prosody and/or style specified by the style embedding.

Abstract: An adjustable bench includes a frame, a back support frame pivotably secured to the frame, a back support pad secured to the back support frame, a back arcuate assembly connected to the back support frame and defining a plurality of back arcuate assembly apertures, and a back adjustment pin fixed to the frame. The back adjustment pin includes a plunger that may move between a projected position and a retracted position. In the projected position, the plunger may project into one of the plurality of back arcuate assembly apertures. Pivoting the back support frame in a first direction engages an angled first end of the plunger with one of the back arcuate assembly apertures and deflects the plunger towards the retracted position. Restraining the plunger in the retracted position enables pivoting the back support frame in a second direction.

Abstract: Systems and methods are provided herein for automatically generating universal metadata for non-linear content when the non-linear content is determined to be viral. To this end, the systems and methods determine a first rate at which first users are consuming non-linear content from a first source. In response to determining that the first rate exceeds the threshold, the systems and methods determine a second source that from which second users are consuming the non-linear content, and a second rate at which the second users are consuming the non-linear content from the second source. In response to determining that the second rate exceeds the threshold, the systems and methods generate universal metadata for the non-linear content by automatically populating metadata fields of by scraping metadata fitting predefined criteria corresponding to the metadata fields from the first source and from the second source, and store the populated metadata fields to a database.

Abstract: A method for estimating an embedding capacity includes receiving, at a deterministic reference encoder, a reference audio signal, and determining a reference embedding corresponding to the reference audio signal, the reference embedding having a corresponding embedding dimensionality. The method also includes measuring a first reconstruction loss as a function of the corresponding embedding dimensionality of the reference embedding and obtaining a variational embedding from a variational posterior. The variational embedding has a corresponding embedding dimensionality and a specified capacity. The method also includes measuring a second reconstruction loss as a function of the corresponding embedding dimensionality of the variational embedding and estimating a capacity of the reference embedding by comparing the first measured reconstruction loss for the reference embedding relative to the second measured reconstruction loss for the variational embedding having the specified capacity.

Abstract: A method for evaluating a target, the target having a surface, includes pulsing a defined, energetic particle beam through the surface and into the target such that particle energy deposition from the particle beam is concentrated in a subsurface target volume within a target medium of the target. The deposited particle energy induces a thermoelastic expansion of the target medium in the target volume that generates a corresponding acoustic wave. The method further includes detecting the acoustic wave from the target medium.

Abstract: A method of performing ion exchange of a thin, flexible glass substrate having an average thickness equal to or less than about 0.3 mm to chemically strengthen the glass substrate is disclosed. The chemically strengthened glass substrate comprises a first compressive stress layer having a first depth of layer, and a second compressive stress layer having a second depth of layer, the first and second stress layers being separated by a layer of tensile stress. A laminated article comprising the chemically strengthened glass substrate is also described.

Abstract: Systems and methods are provided for intelligently accessing media content based on rights. This may be accomplished by a media guidance application that generates a DRM score associated with a first copy of the media asset. The media guidance application determines that plurality of alternative copies of a media asset are available from other sources and determines DRM scores for the alternative copies. The media guidance application determines that one of the alternative copies has a lower digital rights management score as compared to the first copy of the media asset and stores the alternative copy instead of the first copy of the media asset.

Abstract: Systems and methods are disclosed herein for enabling multiple users' digital rights to be applied as needed to access media while those users are present to consume media. In particular, a media guidance application may receive a selection of a media asset and determine that the user equipment device does not allow access to the media asset. In response, the media guidance application may identify all the users consuming content from that user equipment device and retrieve digital rights for each user. The media guidance application may compare the digital rights of each user with digital rights required to access the media asset. The media guidance application may, based on the comparison, identify a set of digital rights (e.g., for another user present) that enable access to the media asset, and use those digital rights to access the media asset for consumption.

Abstract: Systems and methods are described herein for determining a level of user engagement based on user interactions. A media guidance application is configured to retrieve a first record of a first plurality of user inputs, including input type, received during consumption of a media asset. A second time interval, prior to the first time interval, is selected by shifting the first start time and the first end time. A second record of a second plurality of user inputs received during the second time interval, including input type, is retrieved. A first media asset consumed during the first time interval and a second media asset consumed during the second time interval are determined, and the level of user engagement for the first media asset is determined based on the first record and the second record.

Abstract: A display device includes at least two adjacent display tiles having a seam therebetween, and an optical element at the seam to optically blur the seam between the adjacent display tiles, with each of the adjacent display tiles including a substrate, one or more light sources on a first surface of the substrate, and control electronics on a second surface of the substrate opposite the first surface.

Abstract: Systems and methods are presented herein for recording portions of a media asset relevant to recording criteria. A media application receives input indicating the recording criteria and identifying a first keyword. The media application accesses a data structure to identify a first node associated with the first keyword. The data structure includes the first node and a plurality of nodes connected to the first node via a plurality of paths. The media application receiving audio component data for a portion of the media asset extracts a term from the audio component data, and identifies a second node in the data structure that is associated with the extracted term. The media application calculates a path score for the portion of the media asset based on a path size in the data structure between the first node and the second node. When the score is high enough, the portion of the media asset is recorded.

Abstract: Systems and methods for text-to-speech with novel speakers can obtain text data and output audio data. The input text data may be input along with one or more speaker preferences. The speaker preferences can include speaker characteristics. The speaker preferences can be processed by a machine-learned model conditioned on a learned prior distribution to determine a speaker embedding. The speaker embedding can then be processed with the text data to generate an output that includes audio data descriptive of the text data spoken by a novel speaker.