Abstract: A display apparatus includes a display panel including a plurality of pixels, a timing controller configured to generate current control information on the basis of a degree of transition of image data which is to be applied to a corresponding pixel of the plurality of pixels, and a plurality of output buffers configured to output a target data voltage, corresponding to the image data, to data output channels connected to the plurality of pixels, wherein each of the output buffers includes an amplifier output circuit configured to apply a rising current or a falling current, which is previously set for outputting the target data voltage, to an output node connected to one of the data output channels and a slew rate adjustment circuit configured to selectively and further apply an additional rising current or an additional falling current to the output node on the basis of the current control information, for increasing an output slew rate of the target data voltage.

Abstract: A display device may include: a thin film transistor operatively associated with a gate line and a data line; a common electrode line for providing a common voltage to a liquid crystal capacitor and a holding capacitor; and a controller for supplying a data voltage corresponding to a data signal to the liquid crystal capacitor and the holding capacitor through the thin film transistor during an active period, wherein the controller identifies whether a blank period begins and a next data signal is received after a threshold time, and controls the common electrode line to adjust the common voltage on the basis of the identification result.

Abstract: The present disclosure provides common voltage compensation method and device for display panel, a display panel, and a display device. The display panel includes a common electrode, a common voltage compensation unit, and common electrode lines. The common electrode lines are sequentially numbered according to a distance from the common voltage compensation unit, a number of the common electrode lines is n, and n is an integer greater than 8. The method includes: the common voltage compensation unit providing common voltage to the common electrode; the common voltage compensation unit detecting actual common voltage on one of N1-th common electrode line to N2-th common electrode line, N1 being a value rounded down from n/8, and N2 being a value rounded down from n/4; the common voltage compensation unit compensating the common voltage of the common electrode according to the detected actual common voltage.

Abstract: An electronic device includes a display including a plurality of pixels; a display driver configured to provide a data voltage to the plurality of pixels of the display; and a processor configured to: obtain frequency change-based event information, determine a first frequency and a second frequency higher than the first frequency based on the frequency change-based event information, the first frequency being a target value of a refresh frequency, and provide frame data to the display driver, wherein the processor is further configured to control the display driver to: set a frame section in which the display is driven, during a first frame, generate the data voltage based on the frame data and provide the data voltage to the plurality of pixels, and during a low-frequency driving section, in which the frame data is not obtained, after the first frame, refresh an image based on the second frequency and refresh the image based on the first frequency.

Abstract: An image system dynamically updates drive sequences in an image system. Drive sequences are image display settings or display driving characteristics with which a display is operated. The image system may determine the drive sequence at least partially based on input from one or more sensors. For example, the image system may include sensors such as an inertial measurement unit, a light sensor, a camera, a temperature sensor, or other sensors from which sensor data may be collected. The image system may analyze the sensor data to calculate drive sequence settings or to select a drive sequence from a number of predetermined drive sequences. Displaying image content on a display includes providing the display with image data and includes operating the display with various drive sequences.

Abstract: An information processing device includes a processor configured to receive a brightness setting for each region of a deformable continuous display surface through a user instruction.

Abstract: An electronic device may include: a display having at least one hole disposed in at least a part thereof such that light from the outside can be transmitted therethrough; a light-emitting element disposed under the display and configured to output a first infrared ray to the outside; a first light-receiving element disposed under the display at a position corresponding to the at least one hole, and configured to receive a second infrared ray transmitted from the outside; a second light-receiving element disposed under the display at a position where light from the outside is shielded; and at least one processor configured to, based on that a first sensing value according to the second infrared ray, output from the first light-receiving element, satisfies a first specified condition, while the first infrared ray is output: based on that a second sensing value output from the second light-receiving element does not satisfy a second specified condition, identify that a proximate object exists, and based on that

Abstract: An information handling system touchpad includes an application area with a display to present control icons of an application executing on the information handling system, such as camera and microphone icons to control camera and microphone functions of a videoconference application. The touchpad dynamically adjusts touchpad display brightness and color based upon ambient light conditions detected by an ambient light sensor. Touchpad display brightness control is set independent of main display and keyboard backlight illumination brightness.

Abstract: Disclosed are examples for adjusting screen brightness based on screen content being presented on a display screen of a mobile device. The described examples may determine a time at which the screen content is to be evaluated. The screen content is categorized based on the evaluation. A category of the screen content may be input into a machine learning algorithm that may be used to determine whether a screen brightness adjustment is appropriate. If a screen brightness adjustment is appropriate, a degree of the screen brightness adjustment may be determined.

Abstract: In one example in accordance with the present disclosure, a computing device is described. The computing device includes a number of ports. Each port receives a connection to a display device. A first port is coupled to the first graphics processor which supports a number of display devices and a second graphics processor. The computing device also includes a controller. The controller determines when a number of coupled display devices is greater than the number of display devices supported by the first graphics processor and switches the first port from being driven by the first graphics processor to be driven by the second graphics processor.

Abstract: Embodiments of the subject matter described herein relate to a wireless programmable media processing system. In the media processing system, a processing unit in a computing device generates a frame to be displayed based on a graphics content for an application running on the computing device. The frame to be displayed is then divided into a plurality of block groups which are compressed. The plurality of compressed block groups are sent to a graphics display device over a wireless link. In this manner, both the generation and the compression of the frame to be displayed may be completed at the same processing unit in the computing device, which avoids data copying and simplifies processing operations. Thereby, the data processing speed and efficiency is improved significantly.

Abstract: In accordance with some embodiments, an exemplary process for dynamically controlling the size of a display based on a moving of a visual object meeting a criterion in a computer-generated reality (CGR) environment is described.

Abstract: Provided are techniques for providing animation in electronic communications, An image is generated by capturing multiple photographs from a camera or video camera. The first photograph is called the “key photo.” Using a graphics program, photos subsequent to the key photo are edited to cut an element common to the subsequent photos. The cut images are pasted into the key photo as layers. The modified key photo, including the layers, is stored as a web-enabled graphics file, which is then transmitted in conjunction with electronic communication. When the electronic communication is received, the key photo is displayed and each of the layers is displayed and removed in the order that each was taken with a short delay between photos. In this manner, a movie is generated with much smaller files than is currently possible.

Abstract: Systems and methods for improving operating characteristics of displays such as liquid crystal on silicon displays.

Abstract: The present teaching relates to method, system, medium, and implementations for LED display. A first signal is received that signals a timing for a next data transfer. In response to the first signal, a bit-based image block stored in a memory is transferred, via a bus connected thereto, to one of a pair of alternate buffers pointed to by a write buffer pointer, which is subsequently toggled to point to another of the pair of alternate buffers. A second signal is received that signals a timing for refreshing the LED display. In response to the second signal, the bit-based image block is retrieved from the one of the pair of alternate buffers pointed to by a read buffer pointer, which is then toggled to point to the other of the pair of alternate buffers. The lights of the LED display are then refreshed in accordance with control signals generated based on the bit-based image block.

Abstract: An electronic musical instrument according to one embodiment includes playing operators specifying respective pitches, and at least one processor which is configured to execute processing of acquiring string sound data including a fundamental sound component and a harmonic tone component corresponding to a specified pitch, acquiring stroke sound waveform data that does not include the fundamental sound component and the harmonic tone component corresponding to the specified pitch but includes components other than the fundamental sound component and the harmonic tone component, and synthesizing the string sound data and stroke sound data corresponding to the stroke sound waveform data at a set ratio.

Abstract: A handheld musical instrument for generating percussion sounds, the handheld musical instrument includes a body part with one or more sensors, a set of control buttons to select a type of audio output to be generated by said handheld musical instrument, and a handle part coupled to said body part, the handle part including the set of control buttons and operable between a first position and a second position.

Abstract: The disclosure relates to acoustic panels and methods for preparing them. The disclosure relates more particularly to panels having a porous facing and to methods for making such panels. One aspect of the disclosure is an acoustic panel comprising a base structure. The base structure has one or more edges, an outward major surface having a total area, and an inward major surface opposing the outward major surface. The base structure has a noise reduction coefficient (NRC) of at least about 0.3. The panel includes a coating layer directly disposed on the outward major surface of the base structure, the coating layer being formed of an open-cell foam. The coating layer has an exterior major surface opposing the outward major surface of the base structure. The coating layer is substantially scattering for light in the wavelength range of 380 nm to 780 nm, and has an absorption coefficient of less than 0.5 for acoustic frequencies in the range of 100 Hz to 10,000 Hz.

Abstract: A sound insulation plate includes a patterned frame and an elastic membrane, wherein the patterned frame includes a central pattern region and multiple peripheral pattern regions arranged around the central pattern region, the multiple peripheral pattern regions being separated from the central pattern region by a separation bar, and wherein the elastic membrane is mounted on the patterned frame to block passage of air and converts airborne sound waves into elastic waves.

Abstract: A vehicle system includes a controller that is configured to (a) store a plurality of passenger profiles regarding passengers of a vehicle where each of the plurality of passenger profiles include pre-stored characteristics of a respective passenger associated therewith, (b) acquire passenger identifying data regarding a present passenger in the vehicle, (c) identify a respective passenger profile associated with the present passenger from the plurality of passenger profiles based on the passenger identifying data, and (d) control a speaker positioned within the vehicle based at least in part on the respective passenger profile to emit noise-canceling sound waves to generate a noise suppression zone to suppress sound waves perceived by the present passenger.

Abstract: Disclosed is a sound design method for overcoming sense of difference when there is no virtual sound while an auto cruise control is activated. The method includes determining whether an accelerator pedal is actuated; upon determining that the accelerator pedal is not actuated, determining whether an auto cruise control system is operating; upon determining whether the auto cruise control system is operating, classifying a vehicle speed-based order component from a driving sound; and reproducing a speed sensitive virtual sound based on the classified vehicle speed-based order component.

Abstract: A flow controlled sound generation system is disclosed that includes one or more fluid pumps to control air flow through a sound channel. The air flow is modulated through one or more valves to produce audible frequency pressure waves.

Abstract: A linear transducer is connected to a first flexible member that has a first elongated shape with a first minor axis and a first major axis perpendicular to each other. This connects the linear transducer to opposite portions of the first flexible member along the first major axis. A second flexible member having an elongated shape with a second minor axis and a second major axis is provided. The second flexible member is connected to the first flexible member such that portions on the second major axis are joined to move with portions of the first flexible member on the first minor axis. Operation of the linear transducer multiplies displacements of the second flexible member relative to those of the transducer.

Abstract: According to an embodiment, an electronic device may include: a display, a communication module comprising communication circuitry, a memory; and a processor operatively connected to the display, the communication module, and the memory.

Abstract: A method for recognizing a Chinese-English mixed speech, includes: determining pronunciation information and scores of a language model, of speech information, in response to receiving the speech information; determining whether an English word exists in content of the speech information based on the pronunciation information; determining a Chinese word corresponding to the English word based on a preset Chinese-English mapping table in response to the English word existing in the content of the speech information, in which the Chinese-English mapping table includes a mapping relationship of at least one pair of English word and Chinese word; determining a score of the Chinese word corresponding to the English word; replacing a score of the English word in the scores of the language model with the score of the Chinese word; and obtaining a speech recognition result for the speech information based on the replaced scores of the language model.

Abstract: An audio sample including speech and ambient sounds is transmitted to a vehicle computer. Recorded audio is received from the vehicle computer, the recorded audio including the audio sample broadcast by the vehicle computer and recorded by the vehicle computer and recognized speech from the recorded audio. The recognized speech and text of the speech are input to a machine learning program that outputs whether the recognized speech matches the text. When the output from the machine learning program indicates that the recognized speech does not match the text, the recognized speech and the text are included in a training dataset for the machine learning program.

Abstract: Systems and methods for e-commerce systems using natural language understanding are described. A computing device is configured receive a user utterance and identify at least one semantic element within the user utterance. An intent associated with the at least one semantic element is identified and an intent flow associated with the identified intent is executed. The intent flow includes a set of tasks executed in a predetermined order. A system utterance is generated by instantiating a response template selected from a plurality of response templates associated with the executed intent.

Abstract: An electronic apparatus and a control method thereof are provided. The electronic apparatus includes a communication interface configured to receive content comprising image data and speech data; a memory configured to store a language contextual model trained with relevance between words; a display; and a processor configured to: extract an object and a character included in the image data, identify an object name of the object and the character, generate a bias keyword list comprising an image-related word that is associated with the image data, based on the identified object name and the identified character, convert the speech data to a text based on the bias keyword list and the language contextual model, and control the display to display the text that is converted from the speech data, as a caption.

Abstract: A scoring system and method identifies personal attacks in a piece of audio content and generates a civility score for the piece of audio content that can differentiate between personal attacks and vernacular/casual banter. The piece of audio content may be a podcast.

Abstract: In the present disclosure, provided are an electronic apparatus and a controlling method therefor. The electronic apparatus of the present disclosure comprises: a memory in which a first model and a second model are stored; and a processor configured to, when user voice is received, generate a response to the user voice according to completion of the received user voice, the completion being determined on the basis of the first model and the second model. Here, the first model uses, as training data, sentence structures of a plurality of completed sentences, and the second model uses, as training data, a plurality of completed sentences and intents corresponding to the plurality of completed sentences. In particular, the first model and the second model may be artificial intelligence models trained according to at least one of machine learning, a neural network, or a deep learning algorithm.

Abstract: An approach for improving speech recognition is provided. A processor receives a new word to add to a prefix tree. A processor determines a bonus score for a first transition from a first node to a second node in a prefix tree on condition that the first transition is included in a path of at least one transition representing the new word. A processor determines a hypothesis score for a hypothesis that corresponds to a speech sequence based on the prefix tree, where the hypothesis score adds the bonus score to an initial hypothesis score to determine the hypothesis score. In response to a determination that the hypothesis score exceeds a threshold value, a processor generates an output text sequence for the speech sequence based on the hypothesis.

Abstract: This disclosure proposes systems and methods for speech processing and sharing permitted entity information across speech processing systems. A first system can receive first audio data representing a first utterance. The first system can receive a first dialog identifier associated with a previous utterance. The first system can determine that the first audio data references a first entity. In some cases, the first system may not be able to resolve the first entity based on information in the first audio data. The first system can send, to a second system different from the first system, a first request for information about the first entity. The first request includes the first dialog identifier. The first system can receive first data responsive to the first request from the second system. The first system can process the first data and the first audio data to determine second data responsive to the first utterance, and output a first response representing the second data.

Abstract: Methods and systems are provided for extending ranges of a plurality of voice assistant systems and interacting with the plurality of voice assistant systems using a common beacon network system. In one example, the beacon network system includes at least one primary beacon device communicatively coupled to and/or within corresponding listening ranges of one or more voice assistant systems, and a plurality of secondary beacon devices communicatively coupled to the primary beacon device and distributed within an operating environment. The beacon network system enables multi-user interaction with the plurality of voice assistant systems. Further, the beacon network system is scalable and may be deployed in a wide range of operating environments (e.g., operating environments of various sizes).

Abstract: Some embodiments provide systems and methods that can alleviate the burdens on professional advisors of preparing snapshots and answering client questions, particularly questions that do not require professional judgment or strategy. Such embodiments can automate creation of snapshots of account data collected from multiple institutions, suggest questions that are relevant to a user's accounts, and provide programmatic responses to factual or definitional questions pertaining to those accounts.

Abstract: The present disclosure relates to a server and a system including the same.

Abstract: The disclosure provides a speech control method, a speech control apparatus, an electronic device, and a storage medium. The method includes: acquiring target audio data sent by a client, the target audio data including audio data collected by the client within a target duration before wake-up and audio data collected by the client after wake-up; performing speech recognition on the target audio data; and controlling the client based on an instruction recognized from a second audio segment of the target audio data in response to recognizing a wake-up word from a first audio segment at beginning of the target audio data; in which, the second audio segment is later than the first audio segment or has an overlapping portion with the first audio segment.

Abstract: A system and method for controlling an electronic eyewear device using voice commands receives audio data from a microphone, processes the audio data to identify a wake word, and upon identification of a wake word, processes the audio data to identify at least one action keyword in the audio data. The audio data is provided to one of a plurality of controllers associated with different action keywords or sets of action keywords to implement an action. For example, the audio data may be provided to a settings controller to adjust settings of the electronic eyewear device when the action keyword is indicative of a request to adjust a setting of the electronic eyewear device or to a navigation controller to navigate to the system information of the electronic eyewear device when the action keyword is indicative of a request to navigate to system information of the electronic eyewear device.

Abstract: Text-to-speech translation is used to generate a transcript for an audio file. Text segments are associated with time segments in the transcript. A trained machine learning model determines, based on the text in the transcript, one or more topics for the audio file. The transcript is modified to include the determined one or more topics. A user interface may be presented that allows a user to search for portions of an audio file that relate to a particular topic. In response to the selected or entered topic, the user interface presents segments having a matching topic. The user may use voice or other user interface commands to modify the annotation of the audio file. User commands may also be used to extract data from the transcript and copy the data to a clipboard or to another application.

Abstract: Systems and methods for e-commerce systems using natural language understanding are described. A computing device is configured receive a user utterance including at least one identified semantic component and at least one missing semantic component and generate a context stack including a set of context entries. Each of the context entries includes a root intent element, an entity list element, and a dialogue stack and each context entry in the set of context entries is associated with one of a user utterance or a system utterance. The computing device is further configured to review at least one context entry in the set of context entries to locate the at least one missing semantic element within the dialogue stack and generate an intent flow execution request including the at least one semantic element from the first speech data and the missing semantic element.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a first input including activation of an affordance is received. A domain associated with the affordance is determined. A second input including user speech is received, where a user intent is determined based on the domain and the user speech. A determination is made whether the user intent includes a command associated with the affordance. In accordance with a determination that the user intent includes a command associated with the affordance, a task in furtherance of the command is performed.

Abstract: Dynamic interfacing with applications is provided. For example, a system receives a first input audio signal. The system processes, via a natural language processing technique, the first input audio signal to identify an application. The system activates the application for execution on the client computing device. The application declares a function the application is configured to perform. The system modifies the natural language processing technique responsive to the function declared by the application. The system receives a second input audio signal. The system processes, via the modified natural language processing technique, the second input audio signal to detect one or more parameters. The system determines that the one or more parameters are compatible for input into an input field of the application. The system generates an action data structure for the application. The system inputs the action data structure into the application, which executes the action data structure.

Abstract: Devices and techniques are generally described for process optimization using reinforcement learning. In various examples, first input data is received and a first process for processing the first input data is determined. In some examples, a second process for processing the first input data is determined. A first machine learning model is used to generate a first prediction for processing the first input data by the first process. The first process and/or the second process are controlled based at least in part on the first prediction.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collaboration between multiple voice controlled devices are disclosed. In one aspect, a method includes the actions of identifying, by a first computing device, a second computing device that is configured to respond to a particular, predefined hotword; receiving audio data that corresponds to an utterance; receiving a transcription of additional audio data outputted by the second computing device in response to the utterance; based on the transcription of the additional audio data and based on the utterance, generating a transcription that corresponds to a response to the additional audio data; and providing, for output, the transcription that corresponds to the response.

Abstract: Techniques for generating a personalization identifier that is usable by a skill to customize output of supplemental content to a user, without the skill being able to determine an identity of the user based on the personalization identifier, are described. A personalization identifier may be generated to be specific to a skill, such that different skills receive different personalization identifiers with respect to the same user. The personalization identifier may be generated by performing a one-way hash of a skill identifier, and a user profile identifier and/or a device identifier. User-perceived latency may be reduced by generating the personalization identifier at least partially in parallel to performing ASR processing and/or NLU processing.

Abstract: A system and method of automatic transcription using a visual display device and an ear-wearable device. The system is configured to process an input audio signal at the display device to identify a first voice signal and a second voice signal from the input audio signal. A representation of the first voice signal and the second voice signal can be displayed on the display device and input can be received comprising the user selecting one of the first voice signal and the second voice signal as a selected voice signal. The system is configured to convert the selected voice signal to text data and display a transcript on the display device. The system can further generate an output signal sound at the first transducer of the ear-wearable device based on the input audio signal.

Abstract: Implementations set forth herein relate to management of casting requests and user inputs at a rechargeable device, which provides access to an automated assistant and is capable of rendering data that is cast from a separate device. Casting requests can be handled by the rechargeable device despite a device SoC of the rechargeable device operating in a sleep mode. Furthermore, spoken utterances provided by a user for invoking the automated assistant can also be adaptively managed by the rechargeable device in order mitigate idle power consumption by the device SoC. Such spoken utterances can be initially processed by a digital signal processor (DSP), and, based on one or more features (e.g., voice characteristic, conformity to a particular invocation phrase, etc.) of the spoken utterance, the device SoC can be initialized for an amount of time that is selected based on the features of the spoken utterance.

Abstract: Techniques for enrolling a user in a system's user recognition functionality without requiring the user speak particular speech are described. The system may determine characteristics unique to a user input. The system may generate an implicit voice profile from user inputs having similar characteristics. After an implicit voice profile is generated, the system may receive a user input having speech characteristics similar to that of the implicit voice profile. The system may ask the user if the user wants the system to associate the implicit voice profile with a particular user identifier. If the user responds affirmatively, the system may request an identifier of a user profile (e.g., a user name). In response to receiving the user's name, the system may identify a user profile associated with the name and associate the implicit voice profile with the user profile, thereby converting the implicit voice profile into an explicit voice profile.

Abstract: A speech signal is received by a device comprising first and second transducers, and the first transducer comprises a microphone. A method comprises performing a first voice biometric process on speech contained in a first part of a signal received by the microphone, in order to determine whether the speech is the speech of an enrolled user. A first correlation is determined, between said first part of the signal received by the microphone and a corresponding part of the signal received by the second transducer. A second correlation is determined, between said second part of the signal received by the microphone and the corresponding part of the signal received by the second transducer. It is then determined whether the first correlation and the second correlation satisfy a predetermined condition.

Abstract: A multi-channel signal encoding method includes determining a downmixed signal of a first channel signal and a second channel signal, determining an initial reverberation gain parameter of the first channel signal and the second channel signal, determining a target reverberation gain parameter of the first channel signal and the second channel signal based on a correlation between the first channel signal and the downmixed signal, a correlation between the second channel signal and the downmixed signal, and the initial reverberation gain parameter, quantizing the first channel signal and the second channel signal based on the downmixed signal and the target reverberation gain parameter, and writing a quantized first channel signal and a quantized second channel signal into a bitstream.

Abstract: An apparatus for processing an input audio signal relies on a cascade of filterbanks, the cascade having a synthesis filterbank for synthesizing an audio intermediate signal from the input audio signal, the input audio signal being represented by a plurality of first subband signals generated by an analysis filterbank, wherein a number of filterbank channels of the synthesis filterbank is smaller than a number of channels of the analysis filterbank. The apparatus furthermore has a further analysis filterbank for generating a plurality of second subband signals from the audio intermediate signal, wherein the further analysis filterbank has a number of channels being different from the number of channels of the synthesis filterbank, so that a sampling rate of a subband signal of the plurality of second subband signals is different from a sampling rate of a first subband signal of the plurality of first subband signals.