Abstract: An embedded sensor can include an audio detector, a digital signal processor, a library, and a rules engine. The digital signal processor can be configured to receive signals from the audio detector and to identify the environment in which the embedded sensor is located. The library can store statistical models associated with specific environments, and the digital signal processor can be configured identify specific events based on detected sounds within the particular environment by utilizing the statistical model associated with the particular environment. The DSP can associate a probability of accuracy for the identified audible event. A rules engine can be configured to receive the probability and transmit a report of the detected audible event.

Abstract: Audio objects are associated with positional metadata. A received downmix signal comprises downmix channels that are linear combinations of one or more audio objects and are associated with respective positional locators. In a first aspect, the downmix signal, the positional metadata and frequency-dependent object gains are received. An audio object is reconstructed by applying the object gain to an upmix of the downmix signal in accordance with coefficients based on the positional metadata and the positional locators. In a second aspect, audio objects have been encoded together with at least one bed channel positioned at a positional locator of a corresponding downmix channel. The decoding system receives the downmix signal and the positional metadata of the audio objects. A bed channel is reconstructed by suppressing the content representing audio objects from the corresponding downmix channel on the basis of the positional locator of the corresponding downmix channel.

Abstract: Some implementations relate to methods, systems, and computer-readable media to generate text tags for games. In some implementations, a computer-implemented method to generate one or more text tags includes obtaining a plurality of chat transcripts, each chat transcript associated with a respective gameplay session of a respective game of a plurality of games. Each chat transcript includes content provided by participants in the gameplay session. The method further includes programmatically analyzing the plurality of chat transcripts to determine one or more characteristics for each game of the plurality of games, and generating a text tag for at least one game of the plurality of games based on the one or more characteristics of the at least one game.

Abstract: An electronic device according to various embodiments, may include a speaker, a temperature sensor disposed in at least some area inside the speaker, and at least one processor configured to obtain a first temperature of the at least some area using the temperature sensor, obtain a second temperature based on measuring impedance of a voice coil included in the speaker, determine a temperature of the speaker based on at least one of the first temperature and the second temperature, and change a function of the electronic device based at least on the determined temperature of the speaker.

Abstract: An apparatus is described, the apparatus including a case, a display assembly, a chassis connected to the display assembly, a suspension component between the display assembly and the case, wherein the suspension component is configured to allow the display assembly to move relative to the case, at least one vibrating element configured to actuate the chassis to move the display assembly relative to the case to generate at least one of acoustic waves or haptic/tactile effect, and an internal cavity below the display, wherein electronic components of the apparatus are located at the internal cavity.

Abstract: An earpiece with structure for positioning and retaining the earpiece and with structure for sealing against the entrance to the ear canal to provide passive noise attenuation. The positioning and retaining structure engages features of the lateral surface of the ear. The structure for sealing against the entrance to the ear canal includes a conical structure.

Abstract: At a first layer of an echo canceler, a first compensation for a first set of properties of output of an audio capture device of a first communication environment is applied. The first set of properties includes a property resulting from a difference in clock speeds of an audio capture device and an audio rendering device of the first communication environment. At a second layer of the echo canceler, at which output of the first layer is received, a second compensation for a second set of properties of the output of the first layer is applied. The second set of properties includes an echo. Applying the compensations comprises modifying neural network weights. Output of the second layer is transmitted to a second communication environment.

Abstract: A system and method for omnichannel text-based routing, transfer, and customer-to-enterprise communications. The system is a cloud-based network containing an interaction control server, a routing engine, an optimization engine, a media translation server, a mobile application, a business entity portal, mobile and compute devices for business enterprise and customer, and an enterprise database. Taken together or in part, said system optimizes customer interactions by delivering context aware text message, chat or email to customers; and when requested by customer, optimally routes with context, based upon a multitude of variables, to best available resource to handle the customer interaction. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

Abstract: The present invention addresses the problem of providing a technique for assisting the realization of more efficient business activities, while taking account of objective indicators. In a server 1 which supports a user U having a telephone call with a call destination C, an acquiring unit 101 acquires information recorded during the call between the user U and the call destination C, as call information. An extracting unit 102 detects utterance segments VS1 to VSn in which speech is present, from the acquired call information, and extracts speech information VI1 to VIm from each utterance segment VS1 to VSn. An analyzing unit 103 performs analysis based on elements E1 to Ep, on the basis of the extracted speech information VI1 to VIm. A generating unit 104 generates business support information for supporting the call with the user U, on the basis of the results of the analysis. A presenting unit 105 presents the generated business support information to the user U.

Abstract: A system is provided for determining privacy controls for output including sensitive data. A user may subscribe to receive an output in the future based on the occurrence of an event. The system may determine when the event is occurred triggering the output, and determine that the output includes outputting sensitive data. The system may determine output data that does not include the sensitive data, send the output data to a device, and may request the user to provide an authentication input to receive the sensitive data.

Abstract: In one embodiment, an eyeglass frame includes a lens holder, a first temple with a first end close to the lens holder and a second end, a second temple, an electrical connector and a printed circuit board. The printed circuit board with at least one electrical component can be in the first temple. The connector can be close to the first end of the first temple, facing downward, and electrically connected to the at least one electrical component. In another embodiment, an eyeglass frame includes a first printed circuit board, with at least one electrical component. The first printed circuit board can be connected to an electrical component at the frame via a second printed circuit board. In an embodiment, a pair of glasses can perform hearing enhanced functions to enhance audio signals for the user to hear. One embodiment is configured to be a headset.

Abstract: Provided is an in-ear device and associated computational support system that leverages machine learning to interpret sensor data descriptive of one or more in-ear phenomena during subvocalization by the user. An electronic device can receive sensor data generated by at least one sensor at least partially positioned within an ear of a user, wherein the sensor data was generated by the at least one sensor concurrently with the user subvocalizing a subvocalized utterance. The electronic device can then process the sensor data with a machine-learned subvocalization interpretation model to generate an interpretation of the subvocalized utterance as an output of the machine-learned subvocalization interpretation model.

Abstract: In some embodiments, an echo cancellation method which includes adaptation of at least one prediction filter, with adaptation step size controlled using gradient descent on a set of filter coefficients of the filter, where control of the adaptation step size is based at least in part on a direction of adaptation and a predictability of a gradient of adaptation (e.g., a gradient vector). Other aspects of embodiments of the invention include systems, methods, and computer program products for controlling adaptation step size of adaptive (e.g., low-complexity adaptive) echo cancellation. In some embodiments, adaptation step size control is based on a normalized, scaled gradient of adaptation, or includes smoothing of a normalized gradient of adaptation.

Abstract: Certain exemplary aspects of the present disclosure are directed to a data-communications system including a networked contact center for which, in an example embodiment, a communication is received by a networked contact center. In determining whether to allow the communication to reach contact center resources, a contact rate value is examined. The contact rate value may represent an allowable quantity of contact within a time interval. For some example embodiments, a determination of whether the network contact center is to accept or reject the communication is made based on the contact rate value.

Abstract: Systems and methods for computer-generated reality user hailing are described. Some implementations may include accessing sensor data captured using one or more sensors; detecting a person within a distance of a head-mounted display based on the sensor data; detecting a hail event based on the sensor data; and responsive to the hail event, invoking an alert using the head-mounted display.

Abstract: Systems and methods for processing emergency communications are provided. A system may receive an emergency communication initiated by an emergency communicator. The system may detect a data field action in response to an emergency receiver entering a data input based on the emergency communication. The system may capture a timestamp of when the data field action occurred. The system may generate a communication snippet based on the action timestamp and a snippet length. The communication snippet may be configured to provide context from the emergency communication to the data input. The system may transmit the communication snippet and the data input to an emergency responder.

Abstract: A headset, during play of a particular game, receives a plurality of audio channels carrying game sounds and determines whether a first of the game sounds overwhelms a second of the game sounds. In response to the determination, the headset adjusts a level of one or more of the audio channels such that perceptibility of the second game sound is improved relative to perceptibility of the first game sound prior to the adjustment, wherein for the adjustment, a level of one or more of the audio channels carrying the first game sound is decreased while a level of one or more of the audio channels carrying the second game sound is maintained or increased. The audio channels include three or more audio channels and the adjustment of the level of the audio channels is performed while the three or more audio channels are combined into two stereo channels.

Abstract: A method includes receiving a designated event related to a second application while an execution screen of a first application is displayed on a display. The method also includes executing an artificial intelligent application in response to the designated event. The method further includes transmitting data related to the designated event to an external server, based on the executed artificial intelligent application. Additionally, the method includes sensing a user utterance related to the designated event for a designated period of time. The method also includes transmitting the user utterance to the external server. The method further includes receiving an action order for performing a function related to the user utterance from the external server. The method also includes executing the second application at least based on the received action order. The method further includes outputting a result of performing the function by using the second application.

Abstract: To filter unwanted sounds from a conference call, a first voice signal is captured by a first device during a conference call and converted into corresponding text, which is then analyzed to determine that a first portion of the text was spoken by a first user and a second portion of the text was spoken by a second user. If the first user is relevant to the conference call while the second user is not, the first voice signal is prevented from being transmitted into the conference call, the first portion of text is converted into a second voice signal using a voice profile of the first user to synthesize the voice of the first user, and the second voice signal is then transmitted into the conference call. The second portion of text is not converted into a voice signal, as the second user is determined not to be relevant.

Abstract: Computer-implemented methods, computer program products, and computer systems for detecting and resolving fraudulent calls. The computer-implemented methods include one or more processors configured for receiving voice call data corresponding to an incoming telephone call placed to a user device, wherein the voice call data comprises caller voice data. Further, the computer-implemented methods may include one or more processors configured for converting the caller voice data to caller text data comprising one or more text phrases. Further embodiments of the computer-implemented method include processors configured for determining that the one or more text phrases satisfies a first condition, and responsive to determining that the one or more text phrases satisfies the first condition, transmitting a user alert to the user device.