Abstract: In some implementations, an agent-assistance platform may receive a first call stream. The agent-assistance platform may identify a first topic of the first call stream. The agent-assistance platform may output, using a recommendation model, one or more recommendations associated with the first topic of the first call stream. The agent-assistance platform may determine whether a recommendation, of the one or more recommendations, is selected for inclusion in the first call stream. The agent-assistance platform may update the recommendation model with information indicating whether the recommendation is selected for inclusion in the first call stream. The agent-assistance platform may receive a second call stream. The agent-assistance platform may identify a second topic of the second call stream, the first topic being the same as the second topic. The agent-assistance platform may selectively output, using the updated recommendation model, the recommendation for the second call stream.

Abstract: A method of wireless communication by a receiver, includes predicting, with an artificial neural network, at each data block of a set of data blocks, a least complex set of demodulator parameters that will achieve a goal, based on features of a data block expected to be received. The method also includes dynamically selecting the least complex set of demodulator parameters, from multiple sets of demodulator parameters, based on the features of the data block expected to be received. The selecting occurring to prevent degradation of demodulation performance for each data block with the selected set of demodulator parameters for the data block, with respect to a more complex set of demodulator parameters.

Abstract: In one embodiment, an entity such as a company may desire to use agents associated with a contact center to handle calls for the company. The company may identify customer categories for the calls such as technical support and billing. Rather than have the company create the rules that are used to select agents to handle calls for each category, the contact center may use historical call data, such as performance metrics and customer satisfaction survey information, to recommend rules to the company for each category. The recommended rules may also be based on the specific industry, field, or sector associated with the company.

Abstract: The present application is directed to a multimedia apparatus and a cast method. The method includes: during a cast process between a display apparatus and multiple devices, determining a target device from among the multiple devices; storing audio data which is sent from the target device in an audio buffer, and discarding audio data sent from other devices; storing video data which is sent from the multiple devices in video buffers corresponding to the devices; and playing the audio data in the audio buffer, and displaying video data in at least one video buffer.

Abstract: An audio dose monitoring circuit includes: a sound level measuring circuit arranged to operably generate multiple sound level values, wherein the multiple sound level values respectively correspond to the sound levels generated by an audio playback device at multiple time points or the sound levels received by a microphone at multiple time points; an audio dose calculating circuit coupled with the sound level measuring circuit and arranged to operably generate an audio dose value corresponding to a measuring period based on the multiple sound level values and contents of a weighting table; a control circuit coupled with the audio dose calculating circuit and arranged to operably compare the audio dose value with a dose threshold to determine whether to generate a control signal or not; and an indication signal generating circuit coupled with the control circuit and arranged to operably generate a corresponding indication signal according to the control signal.

Abstract: A communication apparatus including a plurality of communication interfaces, a plurality of clocks, and a plurality of output units each associated with a corresponding clock, synchronizes the clocks with a time server, checks whether the clocks are in synchronization with the time server, and selects as a synchronization signal supplied to another apparatus a synchronization signal output from a corresponding output unit associated with the corresponding clock in synchronization with the time server from among the synchronization signals output from the output units. Each output unit starts outputting the signal when a time of the corresponding clock reaches a start time designated by an external apparatus, and outputs the signal when the time of the clock reaches the start time, even with the clock associated with the corresponding output unit out of synchronization with the time server.

Abstract: Aspects of the disclosure include methods, apparatuses, and non-transitory computer-readable storage mediums for processing media streams. An apparatus includes processing circuitry that sends a message to a media aware network element that is configured to process a plurality of audio streams of a conference call. The message indicates that the plurality of audio streams is to be down mixed by the media aware network element. The processing circuitry receives the down mixed plurality of audio streams from the media aware network element and decodes the down mixed plurality of audio streams to receive the conference call.

Abstract: Embodiments described herein provide for passive caller verification and/or passive fraud risk assessments for calls to customer call centers. Systems and methods may be used in real time as a call is coming into a call center. An analytics server of an analytics service looks at the purported Caller ID of the call, as well as the unaltered carrier metadata, which the analytics server then uses to generate or retrieve one or more probability scores using one or more lookup tables and/or a machine-learning model. A probability score indicates the likelihood that information derived using the Caller ID information has occurred or should occur given the carrier metadata received with the inbound call. The one or more probability scores be used to generate a risk score for the current call that indicates the probability of the call being valid (e.g., originated from a verified caller or calling device, non-fraudulent).

Abstract: A conferencing system that is connected to multiple information processing devices over a network and provides each of the multiple information processing devices with a conference screen, comprises: a first participant information obtaining unit that obtains first participant information corresponding to a first participant who participates in a video conference by using each of the multiple information processing devices; a second participant information obtaining unit that obtains second participant information related to a second participant who indirectly participates in the video conference together with the first participant; and a display controller that: displays the first participant information obtained by the first participant information obtaining unit in a predetermined display area on the conference screen; and displays the second participant information obtained by the second participant information obtaining unit in the predetermined display area on the conference screen.

Abstract: Methods and systems are described for authenticating calls. An example method may comprise receiving a message indicative of a call request. Header data associated with the message may be analyzed to determine an attestation value. A signature may be generated based on the attestation value. A signed message comprising the signature and at least a portion of the message may be sent.

Abstract: A flexible test arrangement for performing measurements on a test object. A plurality of safety components, each having a safety module which can be set to active or inactive, and having a ready status which can be set to active or inactive, is provided in a circular test arrangement. Each of the safety components carries out a number of function tests cyclically. As one of the function tests, a cyclical, error-free reception of a data packet is tested. One of the safety components is selected as a bus master which cyclically transmits a bus verification signal in a data packet to the safety component which is adjacent in the direction of transmission, wherein the bus verification signal is relayed by each of the safety components in a data packet, and, when said bus verification signal is received in a data packet, the bus master determines that the circular test arrangement is closed.

Abstract: A network device comprises a receive processor configured to generate respective packet descriptors that include i) respective header information extracted from headers of packets received via a plurality of network interfaces, the packets also including trailers, and ii) respective trailer information extracted from the trailers of the packets. A packet processor is configured to process the header information and the trailer information in the packet descriptors to determine actions to be performed on the packets, including determining network interfaces via which at least some packets are to be transmitted by the network device. A transmit processor is configured to transmit the at least some packets via the plurality of network interfaces in accordance with the determining of network interfaces by the packet processor.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for providing targeted content to a user. In one embodiment, a method is provided comprising: determining whether a phone number for a digital call involving a mobile device or a user computing entity is one of a plurality of target phone numbers; responsive to determining that the phone number is one of the target phone numbers, identifying content control rules associated with the phone number; responsive to identifying the content control rules, identifying actions to be carried out in accordance with the content control rules, wherein at least one of the actions involves providing the targeted content via a call companion interface available through the mobile device or the user computing entity in response to an occurrence of an idle instance experienced by the user on the digital call while the digital call is connected.

Abstract: A wireless communication device has a receiver to listen to a sequence of channels. A controller responds to a preamble being detected on a first channel while the receiver is tuned to the first channel by causing the receiver to stay on the first channel and decode packet(s) associated with the preamble. The controller responds to detection of a first symbol of a first transmission protocol and the preamble not being detected to cause the receiver to stay on the first channel for a predetermined time waiting for a retry. The controller responds to detection of a second symbol of a second transmission protocol and the preamble not being detected to cause the receiver to switch to an advertising channel of the second transmission protocol. If no preambles, noise, or symbols are detected, the receiver switches to listening to a next channel in the sequence after a fixed time.

Abstract: The disclosure relates to methods and system for handling immersive services with feature tags in an 3GPP IP multimedia subsystem (IMS) and 3GPP mission critical services (MCX). A user equipment uses the media tags, feature tags with unique IMS communication service identifier (ICSI) and IMS application reference identifier (IARI) to communicate with the IMS network for determining the immersive services in the communication. Accordingly, a method includes: performing, a registration with a network for handling immersive call services based on feature tags included in a session initiation protocol (SIP) REGISTER request; determining whether the network provides a provision for the handling of immersive call services based on an SIP REGISTER response; and sending an SIP INVITE request including feature tags to a second client device via the network based on determining that the network provides the provision of handling immersive media streams.

Abstract: A method including establishing a packet-switched connection between a first device and a second device is provided. The method includes transmitting a first plurality of packets that include first real-time voice information over the packet-switched connection using an allocated frequency resource. The method includes maintaining allocation of the frequency resource to the packet-switched connection during an interval of time that is devoid of voice activity detected by either the first device or the second device. The method includes transmitting a second plurality of packets that include real-time voice information over the packet-switched connection using the frequency resource.

Abstract: An information processing method, an Ethernet switching chip and a storage medium are provided. The method includes: executing, by a master IP core, one of following operations: updating a global information table of the master IP core according to first information corresponding to the information processing request, and sending the first information to each slave IP core; updating a dedicated information table of the master IP core according to second information corresponding to the information processing request, or, sending, to a corresponding slave IP core, third information corresponding to the information processing request; or acquiring fourth information from the global information table or the dedicated information table of the master IP core based on the information processing request and sending the fourth information to a processor, or, acquiring fifth information from a corresponding slave IP core and sending the fifth information to the processor.

Abstract: The present disclosure provides Edge solution that can introduce/incorporate certain intelligence at the Base Node or PGW/UPF to take decision by routing the requests originating from UE. Embodiments of the present disclosure relate to a method that includes parsing of Data-Packet from UE at Base Node or PGW/UPF; Storage of Configuration parameters at Base Node or PGW/UPF and Execution of Routing algorithm at Base Node or PGW/UPF. The disclosure further provides solution as architectures of Intelligent Routing Ability involving base-node or PGW, wherein the routing ability is achieved at Base Node or PGW/UPF with required configuration, routing decision etc., stored at Base Node or PGW/UPF itself and includes Parsing of data packets coming from user equipment (UE) to Base Node or PGW/UPF to find source and destination address or IP, Storage of possible alternate destination information for desired services/application/content in “local configuration file” at Base Node or PGW/UPF.

Abstract: Systems and methods for establishing call connection in response to user action, the method including receiving a first user action from a user associated with making a call connection, wherein the first user action comprises any of copying at least part of a phone number, pasting at least part of the phone number, or inputting at least part of the phone number. The method also includes determining one or more call recipients based on the first user action. The method also includes establishing one or more silent call connections based on the determined one or more call recipients, wherein each of the one or more silent call connections comprises a call connection with a predetermined parameter so that there are no incoming call indicators on one or more devices associated with the one or more call recipients.

Abstract: Techniques are described for generating metric(s) that predict survey score(s) for a service session. Model(s) may be trained, through supervised or unsupervised machine learning, using training data such as communications from previous service sessions between service representative(s) and individual(s), and survey scores provided by the serviced individual to rate the session on one or more criteria (e.g., survey questions). The model(s) may be trained to output, based on an input session record, metric(s) that each correspond to a survey score that would have been provided by the individual had they completed the survey. The model may be a concatenated model that combines a language model output from a language classifier recurrent neural network, and an acoustic model output from an acoustic feature layer convolutional neural network. Individuals can be clustered according to the metric(s) and/or other factors, and the cluster(s) can be employed for routing incoming service requests.