Abstract: The invention provides a USB microphone for wireless transmission, which relates to the specific application in the field of U-band wireless transmission. It is a USB microphone for wireless transmission, comprising a holder and a base shell. The top of the holder is attached to the fixing frame by screws. Within the fixing frame there is a mute button attached by screws, a microphone core and lithium batteries. The first PCBA board is screwed inside the fixing frame. The second PCAB board is screwed inside the base shell, and it is provided with an output for USB at one end. A face shell is set on top of the base shell. By combining UHF wireless transmission with a USB microphone, the invention frees the USB microphone from the length of the USB cable and enables USB transmission of digital signals for recording while being used wirelessly.

Abstract: A method for adaptive predictive routing in a contact center system according to an embodiment includes identifying an interaction to be routed to a contact center agent, determining, for each agent cohort of a plurality of agent cohorts in sequential order and for a cohort time period associated with the respective agent cohort, whether a contact center agent within the respective cohort is available to be routed the interaction, wherein the plurality of agent cohorts is in sequential order based on descending agent performance scores for at least one key performance indicator, and routing the interaction to a first contact center agent determined to be available to be routed the interaction.

Abstract: A new approach to agent performance evaluation includes real-time transcription of a call or chat from a customer and a real-time scorecard analysis performed on an agent's device as the agent and the customer communicate with each other. The real-time scorecard analysis may be conducted based on a set of live score rules from the server side. The agent can get an immediate scoring feedback through a user interface on the agent's device. Additional analyses, such as a sentiment analysis, a summary analysis, etc., can be performed on the server side and displayed to the agent through the user interface on the agent's device. The agent's automatically generated performance score can be made available to the agent's manager, on-demand and/or in real time, allowing the manager to monitor, evaluate, and/or manage the agent's performance even as the agent converses or chats with the customer.

Abstract: One or more audio files including a recording of one or more verbal statements provided by a first participant of the conference call are obtained. A determination is made that the recorded one or more verbal statements include a question associated with audio-based polling of a set of second participants of the conference call. Response data indicating one or more responses to the question provided by at least one of the set of second participants is obtained. A report indicating one or more outcomes of the audio-based polling is generated based on at least the question and the one or more responses to the question indicated by the obtained response data.

Abstract: Disclosed herein are system, method, and computer program product embodiments for machine learning systems to process incoming call-center calls based on caller preferences. Text of historical interactive communications of a set of first callers are used to train one or more machine learning models to extract caller preferences. These trained models extract caller preferences for a second caller to generate a customer specific profile. An automated call center assistance system is configured to selectively route, based on the customer specific profile, a current call from the second caller to a call center agent and communicate one or more of the caller preferences for the second caller to the call center agent for consideration in an interactive communication during the current call.

Abstract: A method of providing blockchain wireless services in a controlled environment is provided. The method comprises a wireless communication device associated with an inmate of a controlled environment receiving one of a voice and video call from a device external to the controlled environment. The method further comprises the device placing the received call into a hold state and sending a request for validation of the call via a blockchain, the request identifying at least parties to the call. The method further comprises the device, upon receipt of validation, removing the call from the hold state; and enabling at least one of voice and video functionality for the parties. The method further comprises the wireless communication device sending the request for validation to a telecommunications server and the server conducting real time monitoring of the call. The method further comprises the device continuously recording the call.

Abstract: A haptic sensing device, including a light source, an optical waveguide, a photoelectric sensor, and a housing. The optical waveguide includes a waveguide layer and a cladding, the cladding encloses the waveguide layer, and a refractive index of the waveguide layer is greater than a refractive index of the cladding. The waveguide layer includes a plurality of paths, the light source is disposed at an input end of each path, and the photoelectric sensor is disposed at an output end of each path. The light source, the optical waveguide, and the photoelectric sensor are accommodated in the housing. A plurality of contacts are distributed on the housing. When a contact is pressed, the contact is in contact with one path, and the path is deformed. When any two contacts are pressed, the two contacts are in contact with different paths.

Abstract: Assistance can be provided to users of AVs based on user sentiments. A system may receive a request for assistance from a user of an AV (e.g., a passenger of the AV). The system may also receive sensor data that is captured by a sensor suite of the AV from detecting the user, the AV, or another object. The system determines a sentiment of the user based on the sensor data. The system may input the sensor data into a machine learning model and the model outputs information indicating the user's sentiment. The system can determine who, when, or how to service the user's request based on the user's sentiment. The system may assign the user's request to an agent who can provide the assistance. The system can further provide guidance (e.g., suggested content of a conversation with the user) to the agent based on the user's sentiment.

Abstract: A hearing device comprises a) at least one input transducer configured to pick up sound from an acoustic environment around the user when the user is wearing the hearing device, the at least one input transducer providing at least one electric input signal representative of said sound, b) at least one analysis filter bank configured to provide said at least one electric input signal as a multitude of frequency sub-band signals, the at least one analysis filter bank comprising b1) a plurality of M first filters hm(n), whose impulse responses are modulated from a first prototype filter h(n), where m=0, 1, . . .

Abstract: A setting system of a wireless headphone includes a wireless headphone having a speaker and configured to be worn on an ear, and a wireless terminal and is wirelessly connectable to the wireless headphone. The wireless headphone is configured to register data indicating a correspondence relationship between wireless terminal information on the wireless terminal wirelessly connected to the wireless headphone and sound data capable of specifying the wireless terminal. The wireless terminal sets the sound data audibly outputted by the wireless headphone when the wireless terminal is wirelessly connected to the wireless headphone, and transmits the identification information to the wireless headphone. The wireless headphone registers data indicating a correspondence relationship between the wireless terminal information and the identifiable sound data based on the identification information.

Abstract: The present disclosure relates to systems and methods for reducing noise in an imaging system. The methods may include determining an imaging sequence for imaging a subject. When imaging the subject based at least on the imaging sequence, the imaging system may generate a first noise. The methods may further include obtaining, based on the imaging sequence, noise reduction data from a database. And the method may also include causing a generation device to produce a second noise based on the noise reduction data. The second noise may be configured to interfere with the first noise to reduce the first noise.

Abstract: An acoustic processing device includes a first signal processing unit that generates a positive signal to be supplied to a positive electrode terminal of a first speaker and a positive electrode terminal of a second speaker, by using input audio signals from a first group of microphones, and a second signal processing unit that generates a negative signal to be supplied to a negative electrode terminal of the first speaker and a negative electrode terminal of the second speaker, by using input audio signals from a second group of microphones.

Abstract: Presented herein are techniques for determining an estimated battery autonomy (e.g., estimated run-time) of a medical device having at least one actuator/transducer configured to mechanically stimulate a recipient. The medical device is specifically configured for the recipient and, as such, operates in accordance with a plurality of recipient-specific settings. The configuration of the medical device for the recipient (e.g., the plurality of recipient-specific settings), along with frequency and level current consumption characteristics of the medical device, are used to determine the estimated battery autonomy of the medical device. An environmental profile of the recipient can also be used with the configuration of the medical device for the recipient and the frequency and level current consumption characteristics of the medical device to determine the estimated battery autonomy.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises an analytic server for electronic requests routing and distribution. The server receives a plurality of requests from a plurality of electronic user devices. Aiming to routing the plurality of requests to appropriate agents, the server trains an artificial intelligence model for each agent based on historical data. For each request, the server executes the artificial intelligence model to determine a score indicating the probability of the agent converting the request to a successful sale. The server determines an entropy value for each request based on the scores and order the requests into a queue based on the entropy values. The server also calculates a capacity for each agent based on historical agent data. For each request in the queue, the server routes the request to an agent based on at least one of the score and capacity of the agent.

Abstract: A call management system of a call center retrieves from a customer database enterprise customer data associated with an identified customer in a customer call, which may include customer event data, attributions data, and activity event data. The customer database tracks prospects, leads, new business, and purchasers of an enterprise. The system retrieves customer demographic data associated with the identified customer. A predictive model is selected from a plurality of predictive models based on retrieved enterprise customer data. The selected predictive model, including a logistic regression model, and tree-based model, determines a value prediction signal for the identified customer, then classifies the identified customer into a first value group or a second value group. The system routes a customer call classified in the first value group to a first call queue assignment, and routes a customer call classified in the second value group to a second call queue assignment.

Abstract: A wireless charger for a hearing assistance device can include a microphone and a wireless charging circuit. The microphone is configured to receive a wireless communication, including data, in an audio frequency range from a speaker built into a hearing assistance device. The hearing assistance device is configured to amplify sound into a user's ear. The wireless charging circuit of the wireless charger is configured to act as a wireless data transmitter to transmit wireless data in an ultrasonic frequency range, via a charging coil, to the hearing assistance device.

Abstract: Aspects of the present disclosure are directed to providing in-person audio access for remote users. A remote access audio system can detect in-person audio through an array of microphones installed at a site. The remote access audio system can process the in-person audio using speech recognition techniques to determine that an in-person conversation is occurring. The remote access audio system can apply a model to the in-person conversation to determine whether the conversation is relevant to a remote user and transmit an option for the remote user to remotely join or be added to the conversation.

Abstract: A circumaural headset having a first earcup and a second earcup can include a first transducer disposed with the first earcup and configured to transmit a first non-audible signal with an audible signal, a second transducer disposed within the second earcup and configured to receive the first non-audible signal from the first transducer, and an off-ear detection processor configured to determine whether the headset has been removed from the user's head based on the second transducer receiving the first non-audible signal from the first transducer.

Abstract: Novel tools and techniques are provided for implementing automated robocall detection. In various embodiments, a computing system may compare first abstracted raw data, obtained from a portion of call data from a first call from a first originating party, with each of a plurality of abstracted raw data, obtained from portions of call data from a plurality of calls from a corresponding plurality of originating parties. In some instances, the plurality of abstracted raw data and the first abstracted raw data may each include at least one of word count data, phoneme count data, inter-word timing data, voice pitch estimation data, and/or background noise data. The computing system may determine whether the first abstracted raw data is indicative of the first call being a suspected unsolicited or unwanted communication, based at least in part on the comparison. If so, the computing system may perform one or more tasks.

Abstract: According to one example, the present disclosure involves a system including a data-communications server which uses client-specific sets of data that respectively indicate, for each of a plurality of disparate client entities, data services including data-communications call routing services and parked-call services to be provided on behalf of the client entity from among the client entities. The server is to access the client-specific sets of data (e.g., as may be stored in database of a memory circuit), and, in response, the server receives incoming calls involving user endpoint devices associated with respective ones of the client entities. These actions may be followed by the server providing the data services for the incoming calls in a manner consistent with the client-specific sets of data, and conveying for one of the incoming calls, one of multiple call-related context indications to one of the user endpoint devices.