Abstract: A telepresence device may relay video, audio, and/or measurement data to a user operating a control device. A user interface may permit the user to quickly view and/or understand temporally and/or spatially disparate information. The telepresence device may pre-gather looped video of spatially disparate areas in an environment. A temporal control mechanism may start video playback at a desired point hi a current or historical video segment. Notations may be associated with time spans in a video and recalled by capturing an image similar to a frame in the time span of the video. An area of interest may be selected and video containing the area of interest may be automatically found. Situational data may be recorded and used to recall video segments of interest. The telepresence device may synchronize video playback and movement. A series of videos may be recorded at predetermined time intervals to capture visually trending information.

Abstract: A lighting fixture is auto-focused on a person in a venue who is wearing, or carrying, or holding, or speaking into a microphone at the venue by detecting when a microphone having a real-time location system (RTLS) affixed thereto is active, identifying the position of RTLS tag, and auto-focusing the lighting fixture on the identified position of the RTLS tag.

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: The present disclosure relates generally to systems and methods for facilitating two-way communication sessions using serverless cloud-based functions configured in a function-as-a-service (FaaS) system. One example includes accessing a template configured to execute a response based on an event, facilitating a two-way communication session with a user device, and processing data of the two-way communication session to identify an event trigger corresponding to the template. Execution of a serverless cloud-based function associated with the event trigger is requested, and one or more outputs of the serverless cloud-based function associated with the event trigger are integrated into the two-way communication session.

Abstract: One or more lighting fixtures are auto-focused on selected persons in a venue who are performers of a performance occurring at the venue. Each of the performers are associated with a tag of a real-time location system (RTLS). The auto-focusing operates by receiving a signal indicating a scene of a performance that is currently being performed, identifying which RTLS-tagged performer or performers are active during the currently performed scene, identifying the position(s) of the RTLS-tagged performer or performers who are active during the currently performed scene, and auto-focusing the one or more lighting fixtures on the identified position(s) of the RTLS tag.

Abstract: One or more cameras are auto-focused on selected persons in a venue who are performers of a performance occurring at the venue. Each of the performers are associated with a tag of a real-time location system (RTLS). The auto-focusing operates by receiving a signal indicating a scene of a performance that is currently being performed, identifying which RTLS-tagged performer or performers are active during the currently performed scene, identifying the position(s) of the RTLS-tagged performer or performers who are active during the currently performed scene, and auto-focusing the one or more cameras on the identified position(s) of the RTLS tag.

Abstract: A control apparatus includes circuitry configured to: acquire an image signal generated by an imaging device configured to image an observation target; acquire an operation instruction made by a voice input; control a display device to display a plurality of images generated based on the image signal corresponding to an operating state of the imaging device, together with information related to the operating state, in a case where the operation instruction is an operation instruction related to imaging of the imaging device; and control to change the imaging device to an operating state corresponding to the image selected by a user among the plurality of images.

Abstract: A talker prediction method obtains a voice from a plurality of talkers, records a conversation history of the plurality of talkers, identifies a talker of the obtained voice, and predicts a next talker among the plurality of talkers based on the identified talker and the conversation history.

Abstract: A camera is auto-focused on a person in a venue who is wearing, or carrying, or holding, or speaking into a microphone at the venue by detecting when a microphone having a real-time location system (RTLS) affixed thereto is active, identifying the position of RTLS tag, and auto-focusing the camera on the identified position of the RTLS tag.

Abstract: An apparatus for decomposing an audio signal into a background component signal and a foreground component signal, has: a block generator for generating a time sequence of blocks of audio signal values; an audio signal analyzer for determining a characteristic of a current block of the audio signal and for determining a variability of the characteristic within a group of blocks having at least two blocks of the sequence of blocks; and a separator for separating the current block into a background portion and a foreground portion wherein the separator is configured to determine a separation threshold based on the variability and to separate the current block into the background component signal and the foreground component signal, when the characteristic of the current block is in a predetermined relation to the separation threshold.

Abstract: Systems and methods of verifying trigger keywords in acoustic-based digital assistant applications are provided. A system can receive, from an application developer computing device, a request to generate a voice-based software application. The request can include a uniform resource locator (URL) associated with a service provided by the voice-based software application and an identifier corresponding to the URL. The system can identify a plurality of links that include the URL as a target. The system can determine a subset of the plurality of links having a respective character string that includes a reference to the identifier for the URL. The data processing system can compare the subset of the plurality of links to a threshold to determine a match level, and can determine a verification status of the request based on the match level.

Abstract: Embodiments herein relate to a local assistant system responding to voice input using an ear-wearable device. The system detects a wake-up signal and receives a first voice input communicating a first query content. The system includes speech recognition circuitry to determine the first query content, speech generation circuitry, and an input database of locally-handled user inputs. If the first audio input matches one of the locally-handled user inputs, then the system takes a local responsive action. If the first audio input does not match one of the locally-handled user inputs, then the system transmits at least a portion of the first query content over a wireless network to a network resource.

Abstract: A method including obtaining a first clean signal and a first processed signal dependent upon audio input at a first microphone; obtaining a second clean signal and a second processed signal dependent upon audio input at a second microphone; using the first clean signal and the second clean signal to enable further processing of at least the first processed signal and the second processed signal.

Abstract: An ear apparatus may comprise one or more of a housing, an electrode, a biometric sensor, a speaker driver, and/or other components. The housing of the ear apparatus may be configured to be attached to an ear. The electrode may be carried by the housing. The electrode may be configured to measure an electrical signal from the ear. The electrical signal may include a reference signal, a ground signal, or a bias signal. The biometric sensor may be carried by the housing. The biometric sensor may be configured to measure one or more biometric characteristics from the ear. The speaker driver may be carried by the housing. The speaker driver may be configured to produce sound.

Abstract: A method of building a new voice having a new timbre using a timbre vector space includes receiving timbre data filtered using a temporal receptive field. The timbre data is mapped in the timbre vector space. The timbre data is related to a plurality of different voices. Each of the plurality of different voices has respective timbre data in the timbre vector space. The method builds the new timbre using the timbre data of the plurality of different voices using a machine learning system.

Abstract: The present invention implements a device that displays a counterpart video with an actual size within a table structure and a table size, configures a video system in a structure of matching an eye of a counterpart like a reality, and configures upper, lower, left, and right sides of a mutual face-to-face video to match each other without a separate video inversion device, and enables a dialogue to be made in real time, and relates to a virtual face-to-face table device which is configured within a table height and may be used like a table.

Abstract: In some examples, an electronic device comprises an image sensor to detect a user action, an audio input device to receive an audio signal, and a processor coupled to the audio input device and the image sensor. The processor is to determine that the audio signal includes private speech based on the user action, remove the private speech from the audio signal to produce a filtered audio signal, and transmit the filtered audio signal.

Abstract: A low power voice processing system that includes a plurality of non-audio sensors, at least one microphone system, and a plurality of audio modules, at least some of which can be configured in selected modes. A context determination module is connected to the plurality of audio modules, and further connected to receive input from the plurality of non-audio sensors and the at least one microphone system. The context determination module acts to determine use context for the voice processing system and at least in part selects mode operation of at least some of the plurality of audio modules.

Abstract: An audio device with a body configured to be worn on or abutting an outer ear of a user, wherein the body is configured to contact at least one of the outer ear and the portion of the head that abuts the outer ear, at two separate spaced contact locations, and wherein the body is compliant at a body portion that defines one of the contact locations. The device also has an acoustic module carried by the body and configured to locate a sound-emitting opening anteriorly of and proximate the user's ear canal opening when the body is worn on or abutting the ear of the user.

Abstract: Systems for capturing and organizing team-generated content produced during a meeting defined/facilitated by a third-party meeting tool or service. In particular, a server system includes a memory allocation and a processor allocation configured to cooperate to instantiate an instance of a bridge service configured to communicably couple to API endpoints of the third-party meeting tool and to one or more collaboration tools. The bridge service can monitor user or team input (and/or user input events) to the third-party meeting tool before, during, or after a meeting. Captured user input is provided to an input classifier which classifies the input as one of a set of input types. Based on the input type, parsing or analysis operations can be triggered and/or one or more API endpoints of a collaboration tool is selected such that an input to the collaboration tool, including the user input, can be provided.