Abstract: There are disclosed techniques for generating an audio signal and training an audio generator. An audio decoder generates an audio signal from a bitstream and comprises: a first data provisioner to provide first data having multiple channels; a first processing block to output first output data having multiple channels, and a second processing block. The first processing block comprises: a learnable layer to receive the bitstream and, for the given frame, output target data representing the audio signal in the given frame with multiple channels and multiple samples for the given frame; a conditioning learnable layer to process the target data to obtain conditioning feature parameters for the given frame; and a styling element applying the conditioning feature parameters to the first data. The second processing block combines the channels of the second data to obtain the audio signal.

Abstract: Disclosed herein are systems, apparatuses, methods, and non-transitory computer readable media related to display constructs that can be fixed or movable. The display constructs can be configured to facilitate media display at opposite sides. The display constructs may be is at least partially transparent and can be viewed therethrough. Various interactive capabilities with the display construct are disclosed, as well as various installation component and kits. Further disclosed are wireless chargers embedded in fixtures and/or real assets of a facility.

Abstract: Chatbot conversation management includes a generic model associated with a first property associated with a chatbot manager. The generic model is generated based on machine learning. A refined model that is associated with the first property is generated based on the generic model and a first plurality of phrases. A first conversation is held between a chatbot and an end user. A determination is made regarding storage of a value of a first property for the end user that is obtained via the chatbot. The refined model is used to dynamically ask questions to the end user to determine a value of the first property for the end user.

Abstract: A smart gate system, and method, includes a thermal sensor for measuring a temperature of a visitor and transmitting the measured temperature, a QR code reader to read a health status QR code having a date range and transmitting a message including health status information of the visitor and a request for entry, a gate controller receiving a control signal for permitting or denying entry through a gate, a server for determining that the health status information and the temperature of the visitor indicate that the visitor has not contracted a predetermined virus and that the visitor is a registered visitor, and responding to the request for entry by transmitting the control signal to the gate controller in accordance with the determination and whether the health status QR code is within the predetermined date range, and the gate controller controlling opening of the gate based on the control signal.

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: There are disclosed techniques for generating an audio signal and training an audio generator. An audio generator may generate an audio signal from an input signal and target data representing the audio signal. It includes: a first processing block, receiving first data derived from the input signal and outputting first output data; a second processing block, receiving, as second data, the first output data or data derived from the first output data. The first processing block includes: a conditioning set of learnable layers configured to process the target data to obtain conditioning features parameters; and a styling element, configured to apply the conditioning feature parameters to the first data or normalized first data.

Abstract: There are disclosed techniques for generating an audio signal and training an audio generator. An audio generator may generate an audio signal from an input signal and target data representing the audio signal. The target data is derived from text. The audio generator includes: a first processing block, receiving first data derived from the input signal and outputting first output data; a second processing block, receiving, as second data, the first output data or data derived from the first output data. The first processing block includes: a conditioning set of learnable layers configured to process the target data to obtain conditioning features parameters; and a styling element, configured to apply the conditioning feature parameters to the first data or normalized first data.

Abstract: Various devices (e.g., sensors and/or emitters) are disposed in a casing to form an ensemble are utilized to affect and/or control an environment of an enclosure (e.g., facility). A plurality of such ensembles may be disposed in the facility. Inter and/or intra coexistence issues may arise among the devices. Such coexistence is utilized and/or managed by a control and/or processing system. An ensemble may be integrated as a digital architectural element packaged as a capsule having a main body shell and a lid.

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: The present disclosure describes one or more communities of components (e.g., comprising one or more sensors and/or transceivers) that are configured to automatically locate and/or self-locate their members. The community of components includes a plurality of stationary components, and may include at least one transitory component.

Abstract: An apparatus for processing a narrowband speech input signal by conducting bandwidth extension of the narrowband speech input signal to obtain a wideband speech output signal according to an embodiment is provided. The apparatus includes a signal envelope extrapolator including a first neural network, wherein the first neural network is configured to receive as input values of the first neural network a plurality of samples of a signal envelope of the narrowband speech input signal, and configured to determine as output values of the first neural network a plurality of extrapolated signal envelope samples. Moreover, the apparatus includes an excitation signal extrapolator configured to receive a plurality of samples of an excitation signal of the narrowband speech input signal, and configured to determine a plurality of extrapolated excitation signal samples.

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: A method of decoding an original speech signal for hybrid adversarial-parametric speech synthesis comprising: (a) receiving quantized original linear prediction coding parameters estimated by applying linear prediction coding analysis filtering to an original speech signal and a quantized compressed representation of a residual of the original speech signal; (b) dequantizing the original linear prediction coding parameters and the compressed representation of the residual; (c) inputting the dequantized compressed representation of the residual into a decoder part of a Generator for applying adversarial mapping from the compressed residual domain to a fake (first) signal domain; (d) outputting, by the decoder part of the Generator, a fake speech signal; (e) applying linear prediction coding analysis filtering to the fake speech signal for obtaining a corresponding fake residual; (f) reconstructing the original speech signal by applying linear prediction coding cross-synthesis filtering to the fake residual and

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: Disclosed are various embodiments for employing approximate string matching in search queries to locate quotes, such as popular quotes in movies or other media. A quote database may be constructed to respond to search queries that include a quote by identifying approximate matches of the quote in closed captioning files. If an approximate match of a quote resides in the closed captioning file, information associated with the closed captioning file, such as a start time and an end time, may be added to the quote database for use in future searches.

Abstract: The extract of Vicia faba beans is prepared by soaking beans in distilled water overnight and then boiling in a water bath to reduce the volume of aqueous extract, which is then homogenized and filtered. The filtrate is concentrated to a smaller volume, lyophilized, and powdered. The lyophilized powder is extracted with hexane to remove oils and lipids. The oil-free lyophilized powder is dissolved in ethanol solvent and extracted for eight hours under reflux, and filtered. The volume of ethanol is reduced by a rotary evaporator, and a first off-white precipitate (sample A-1) is collected, washed with ethanol, and dried at 80° C. Mass spectrometry shows a molecular weight of 200.16447 g mol?1, and an empirical formula of C9H16N2O3 is assigned. Intraperitoneal injection of mice with 50 mg/kg of A-1 twenty minutes prior to injection with strychnine protected the mice from strychnine-induced convulsions to the same extent as phenobarbitone (phenobarbital).

Abstract: The extract of Vicia faba beans is prepared by soaking beans in distilled water overnight and then boiling in a water bath to reduce the volume of aqueous extract, which is then homogenized and filtered. The filtrate is concentrated to a smaller volume, lyophilized, and powdered. The lyophilized powder is extracted with hexane to remove oils and lipids. The oil-free lyophilized powder is dissolved in ethanol solvent and extracted for eight hours under reflux, and filtered. The volume of ethanol is reduced by a rotary evaporator, and a first off-white precipitate (sample A-1) is collected, washed with ethanol, and dried at 80° C. Mass spectrometry shows a molecular weight of 200.16447 g mol?1, and an empirical formula of C9H16N2O3 is assigned. Intraperitoneal injection of mice with 50 mg/kg of A-1 twenty minutes prior to injection with strychnine protected the mice from strychnine-induced convulsions to the same extent as phenobarbitone (phenobarbital).