Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.

Abstract: A method includes receiving, by a universal authentication application from a resource provider computer, a user credential verification request message comprising a user identifier, server computer data, and interaction data for an interaction. The universal authentication application transmits the user credential verification request message to a browser that invokes the authenticator to verify biometric information of a user. The universal authentication application receives a user credential verification response message from the authenticator. The user credential verification response message includes signed interaction data. The universal authentication application sends the user credential verification response message to the resource provider computer. The resource provider computer provides at least the signed interaction data to a plurality of server computers to retrieve a plurality of portable device credentials respectively associated with the plurality of server computers.

Abstract: Techniques described herein relate to message distribution in a contact center. Messages generated by an administrator and/or by a trained model processing data from customer interactions with the contact center are stored in a message queue. A desktop application running on a representative device and hosted by the contact center queries the message queue for messages intended for a representative using the representative device. Messages intended for the representative are automatically displayed on the representative device, e.g., on the desktop.

Abstract: Disclosed are various approaches for performing biometric authentication of users using an application running on a client device. A biometric model can be trained using biometric data from a population of users. The biometric model can be used by the client application to authenticate users and can be separate from system-level biometric authentication capabilities of the client device.

Abstract: Techniques described herein relate to representative monitoring in a contact center environment. Data associated with a customer interaction, including content of the interaction and video of a representative display during processing associated with the interaction, are presented to an administrator in real time or near real time for monitoring during an interaction. In some examples, a contact center server may receive an event notification when a live contact begins, and may generate data files associated with the live contact to allow the administrator to monitor the contact. In some instances, the contact center server may continue to generate data after conclusion of the live contact, to allow the administrator to monitor and guide post-contact processing performed by the representative. The contact center server also may allow administrators to select live contacts for monitoring and/or receive alerts when pre-selected representatives commence live contacts that can be monitored.

Abstract: There is provided a system for generating a motion performance metric of a moving human subject. The system includes a single stationarily supported motion capture device in the form of a smartphone having a camera configured to capture from a predetermined capture position, visual data of the subject as the subject moves (for example, by walking, jogging and/or running) between two distance calibration markers that are disposed at a predetermined distance apart from each other and in a field of vision of the camera. The system further includes a central data processing server in communication with the smartphone. The server is configured to initially recognise, from the captured visual data, a plurality of human pose points on the subject. The server then is able to extract kinematic data of the subject based on the recognised human pose points and then subsequently construct, based on the extracted kinematic data, a biomechanical model of the motion of the subject.

Abstract: The present invention provides a robust and effective solution to an entity or an organization for creating and standardizing an Automotive Data Quality Marker (ADQM) to determine/evaluate/predict the quality of automotive data such as Telematics, Body Control, ADAS, Diagnostics, Dashcams, and In-Vehicle Infotainment but not limited to the like generated by the vehicle (i.e., data source) using a machine learning (ML) engine associated with a processing unit. The machine learning engine comprises an amalgamation of machine learning algorithms to determine ADQM for a particular dataset. Data pertaining to vehicles is huge and repetitive. Re-training of the model for improved accuracy is a requirement as automotive data can be augmented with additional signals and data received and stored as trip objects on a regular basis.

Abstract: Various techniques described herein relate to building and using representative data systems to store and manage representative profile data within contact centers. A representative data system integrates with external communication services and other internal/external systems to provide a uniform data store and interface to create and manage representative profiles. The representative data system retrieves and analyzes representative profile data during runtime contact center operations such as contact queuing, contact management, and/or workforce management. The representative data system may be implemented using relational or graph-based data structures to support advanced predictive modeling and impact analysis of scenarios such as service outages, dynamic workload shifting, infrastructure changes, and workforce changes.

Abstract: Some embodiments provide a method for identifying competitors of a particular company. The method identifies a set of potential competitors of a particular company. For each potential competitors, the method calculates a score quantifying the competitive relationship of the potential competitor to the particular company. When the calculated score is above a particular threshold, the method associates the potential competitor as a competitor of the particular company.

Abstract: A system assigns a unique prefix to a data table. The system generates a set of document identifications (IDs) for a set of data records included in the data table. The system generates a data key that corresponds to a combination of two or more columns of the data table. The system identifies one or more data records that share a key value with each other, where the key value is associated with the data key. The system determines that the one or more data records belong to a user based at least on identifying that the one or more data records share the key value with each other. The system assigns an entity ID to the identified one or more data records in response to determining that the one or more data records belong to the user.

Abstract: Methods and systems are provided for facilitating implementation of machine learning models in embedded software. In embodiments, a lean machine learning model, having a limited number of layers, is trained in association with a complex machine learning model, having a greater number of layers. To this end, a complex machine learning model, having a first number of layers, can be trained based on an output generated from a lean machine learning model used as input to the complex machine learning model. Further, the lean machine learning model, having a second number of layers less than the first number of layers, is trained using a loss value generated in association with training the complex machine learning model. Thereafter, the trained lean machine learning model can be provided for implementation in an embedded software.

Abstract: An improved battery pack 100/200 is disclosed, having a plurality of cylindrical cells 102 arranged in parallel disposition in rows 104/204 and columns 106/206 such that positive and negative terminals of any of the cells and the closest surrounding cells are oppositely placed to minimise the overall magnetic field due to the internal current of the cells by the opposite magnetic field of the oppositely placed adjacent cells. The positive and negative terminals at any of or both of upper and lower ends of the cells 102 in a group of adjacently located columns are connected by criss-cross connections 108/208 to provide parallel electric connection of the cells 102 in groups of adjacently located columns 106/206. Criss-cross connections 108/208 pertaining to the terminals of opposite polarity are connected by series connections 110/210 to provide series connection of the sets of cells connected in parallel by the criss-cross connections 108/208.

Abstract: Spot aware print workflow techniques and system are described. In an implementation, a digital document is received for printing that includes a plurality of objects. Spot functionality is detected as corresponding to a respective object based on object properties detected for the respective object. One or more spot planes for are generated based on the spot functionality and a determination is made of color values for the one or more spot planes, respectively, based on context data describing a context, in which, the one or more spot planes are to be printed. The spot planes having the color values are output for printing by a print mechanism.

Abstract: A device receives a notification indicating a failure of a first server device responsible for a primary message queue that includes messages at a time of the failure. A second server device is responsible for a standby message queue to which the messages are replicated, where a position in the standby message queue and a message time are assigned to each of the replicated messages. The device obtains a record time that identifies the message time of one of the messages that was last obtained from the primary message queue prior to the failure, compares an adjusted record time and the message time of one or more of the messages of the standby message queue to determine a starting position in the standby message queue, and processes messages obtained from the standby message queue beginning at one of the messages assigned to the position that matches the starting position.

Abstract: Various techniques described herein relate to a client application framework for a contact center environment. A role-specific thick client framework may include a web browser-based application having multiple processes that can be distributed across the computing infrastructure of the client device. A portion of the framework may include a container application image received from an internal server of the contact center and launched by the client device. The framework also may include queuing and communication services executing on the client device, which interface with the internal client application and external service providers to support a common queuing framework and an integrated model implementation across the contact center environment.

Abstract: Disclosed are various approaches for performing biometric authentication of users using an application running on a client device. A biometric model can be trained using biometric data from a population of users. The biometric model can be used by the client application to authenticate users and can be separate from system-level biometric authentication capabilities of the client device.

Abstract: A data logging and transmission device is provided for an electric aircraft having a charging port for on-ground charging of an energy storage system of an electric propulsion system of the aircraft. The device includes: a control unit, data storage unit, data transmitter, and sensor configured to detect connection of charging port of the electric aircraft to ground-side charger and then issue a trigger signal to the control unit. The control unit is configured wherein a state of flight of the electric aircraft, the control unit collects inflight data from the electric aircraft and saves the inflight data to the data storage unit. The control unit is also configured such that in a state of on-ground charging of the electric aircraft, the control unit, on receipt of the trigger signal, commands the data transmitter to transmit the inflight data saved on the data storage unit to a remote receiver.