Abstract: An on-premises system for pre-processing data for forecasting according to an embodiment includes at least one processor and at least one memory having a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the on-premises system to receive a request to forecast contact center data using a cloud system, determine a first number of interactions per unit of time for a source interval, determine a second number of units of time in a destination interval, and determine a third number of interactions in the destination interval based on the first number of interactions per unit of time for the source interval and the second number of units of time in the destination interval.

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: Enhanced capabilities within a telephone network are made accessible to a telecommunications device. The telecommunications device is used to dial a sequence. A network server receives and identifies the sequence invokes an advanced network function. A advanced network function server in communication with the network server provides instructions as to how the network server is to provide the advanced network function. The network server processes the call in accordance with the received instructions to provide the particular advanced network function.

Abstract: The present application describes providing an attestation level to a received communication. The attestation level may be used to communicate a level of security to a network or a called party that receives the communication. The attestation level associated with the communication may indicate to a destination network and/or recipient that the phone number associated with the communication is secure and/or the telephone number has not been spoofed.

Abstract: A display device includes: a display panel; a first sound generator disposed on one surface of the display panel, where the first sound generator vibrates the display panel to output a first sound; and a first vibration damping member disposed between the display panel and the first sound generator, where the first vibration damping member reduces a vibration displacement of the display panel.

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: Systems and methods may be used to determine a fit for a hearing assistance device shell model. For example, a method may include receiving an image of anatomy of a patient including at least a portion of a canal aperture of an ear of the patient, generating a patient model of a portion of the anatomy of the patient, the patient model indicating at least one of a height or width of the canal aperture, and determining, using the patient model, a best fit model from a set of hearing assistance device shell models generated using a machine learning technique. The method may include outputting an identification of the best fit model.

Abstract: Communications within a call center are routed to agents based on available capacity of the agents. Weighting values are associated with communications and each agent has a maximum capacity. Calls are routed to agents based on a current occupancy of each agent. The current occupancy is determined based on weighting values associated with communications currently being handled by the agents. Agents generally are not assigned a communication that would result in an occupancy that is greater than the agent's maximum capacity.

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: Disclosed are a surface sound-emitting apparatus and an electronic device. The surface sound-emitting apparatus comprises an exciter, a vibrating part and a connection element, wherein the connection element is of a sheet-like structure, the vibrating part is disposed on the connection element, the exciter is disposed on the vibrating part, an edge of the connection element is configured to connect to the remaining portion of a surface of an electronic device, the connection element and the remaining portion of the surface together constitute the surface, the connection element is configured to provide an elastic recovery force, and the exciter is configured to provide a driving force.

Abstract: An electronic device comprising circuitry configured to perform (402; 702; 1204) source separation (201) based on a received audio input to obtain a separated source, to perform onset detection (202) on the separated source to obtain an onset detection signal and to mix (405; 706; 1207) the audio signal with the separated source based on the onset detection signal to obtain an enhanced separated source.

Abstract: The present invention provides an audio control circuit comprising an USB interface and a processing circuit is disclosed. The USB interface is used to connect to a host device, and the processing circuit is configured to perform enumeration with the host device via the USB interface, and the processing circuit is further configured to determine if the host device operates in a BIOS stage or an operating system stage to generate a control signal according to packets of the enumeration. When the processing circuit determines that the host device operates in the BIOS stage, the processing circuit generates the control signal to enable a de-pop circuit; and when the processing circuit determines that the host device operates in the operating system stage, the processing circuit generates the control signal to disable the de-pop circuit.

Abstract: A device may determine that a failure occurred in an emergency call between a public-safety answering point (PSAP) and a first user device associated with an emergency caller, and may identify, based on determining the failure, one of a first option, a second option, or a third option for redirecting an emergency callback to a contact of the emergency caller. The device may cause, when the first option is identified, the emergency callback to be redirected to a second user device associated with the contact of the emergency caller, and may cause, when the first option is identified, a bearer path to be established between the PSAP and the second user device for the emergency callback.

Abstract: According to various embodiments of the disclosure, an electronic device may include a housing including an acoustic conduit to output a sound, a sound output device disposed at least partially in the housing, and connected with an outside of the electronic device through the acoustic conduit, a memory, and a processor electrically connected with the sound output device and the memory. The processor may determine whether specified information is received in association with an output of the sound output device, output, through the sound output device, a sound including a plurality of frequency bands, based on the specified information, when the specified information is received, and maintain center frequencies of the plurality of frequency bands to be substantially fixed and change, in a specified range, sound pressures of the plurality of frequency bands, during time that the sound is output.

Abstract: A speaker is provided, including a speaker housing and a speaker body. The speaker body is connected to the speaker housing, the speaker body and the speaker housing form a cavity, the cavity includes a first inner cavity and a second inner cavity, and the first inner cavity and the second inner cavity are connected through a connecting hole.

Abstract: Disclosed embodiments may relate to systems and methods for monitoring and/or mapping noise data from a plurality of noise monitoring devices. In some embodiments, the plurality of noise monitoring devices may include hearing protection devices configured to detect noise, and typically may communicate such noise data (which may also include location) so that the noise data can be pooled. The pooled noise data from the plurality of noise monitoring devices may then be used to the benefit of one or more of such noise monitoring devices.

Abstract: Disclosed herein are systems and methods for eardrum acoustic pressure estimation for hearing device applications. A receiver signal is produced through a receiver of a hearing device, or a physical extension of the receiver, placed inside an ear canal of a user. A microphone signal is sensed, in response to the receiver signal, using a microphone placed outside the ear canal. Based on the receiver signal and the microphone signal, a reliability signal of the microphone signal and a feedback-path signal are computed. A spectral representation signal of the feedback-path signal is computed, and a real-ear response signal is computed using a mathematical combination of the spectral-representation signal and the reliability signal. The computed real-ear response signal is used to modify an operational characteristic of the hearing device, or to make a recommendation for modification of an operational characteristic or a physical characteristic of the hearing device.

Abstract: Methods and apparatus for call traffic anomaly mitigation are described herein. One or more embodiments include receiving a scoring request including a telephone number associated with a telephone call at a scoring device from a call processing entity, receiving a violator list of telephone numbers and their corresponding severity values at the scoring device from an anomaly analyzer, determining a severity value associated with the telephone number by performing a lookup operation in the violator list, performing a random simulation using the severity value as a probability to determine an indicator value, and inputting the indicator value into a model to determine a call reputation score.

Abstract: A spam call prevention apparatus 11 includes: a response unit 111 configured to convey, to a phone terminal of a sender of a call, a response that, in a case where the call from the sender is evaluated as a spam or a fraud by a receiver of the call, the sender is billed a sum of money corresponding to a probability of being evaluated as the spam or the fraud; a notification unit 112 configured to notify, when the sender has requested, in responding to the response, the call to the receiver, a phone terminal of the receiver of a request for returning an evaluation result of evaluating the call from the sender after the call between the sender and the receiver has ended; and a determination unit 114 configured to determine, when the call from the sender has been evaluated as the spam or the fraud in the evaluation result, the sum of money corresponding to the probability of being evaluated as the spam or the fraud, as a sum of billing.

Abstract: Methods and systems for handling telephone calls relating to recurring customer questions and inquiries so as to decrease a likelihood of additional calls regarding the same issues and thereby improve customer experience while reducing an overall call volume are provided. The method includes: receiving an incoming telephone call from a person; capturing an audio signal that corresponds to a voice of the person; analyzing the audio signal by detecting phonetic intonations applying a digital filter to the intonations; and determining whether an inquiry articulated by the person during the telephone call has been adequately addressed. The method may further include using machine learning to generate an output that indicates an expression of certainty or uncertainty in the voice of the person.