Abstract: A method and a system for interacting with one or more computer resource assets at a location. The system includes a processor, a storage, and an interface suite including a first interface configured to communicate with a user device and a second interface configured to interact with at least one computing resource asset at the location.

Abstract: A system and method for identifying a speaker based on dual calculation of voiceprint match scores, using machine learned voiceprint sets and machine learned hashing models to reduce a voiceprint set, normalizing the joint scores, and performing user identification. The system and method include, among other things, a novel normalization technique designed for multitarget detection that considers scores between all enrolled negative list (NL) utterances and the normalization cohort as a single distribution. The system and method include machine learned hashing models to efficiently find a small subset of utterances from enrolled NL utterances and the normalization cohort that are most similar to the test utterance, so that the number of similarity score computations can be significantly reduced in identifying the speaker.

Abstract: Methods and systems for data management include representing, organizing, and accessing very large data sets. Embodiments describe supporting data sets of various size based on attributed data slices (ADSs) to enable reduced memory requirements, query decomposition and parallel execution, and constant execution times for concurrent queries. The ADSs can include data buckets comprising items that are grouped by an attribute key. Attribute groups can be further sorted (e.g., in ascending order) based on the attribute key. According to some embodiments, the essential structure of an ADS provides additional functionality while preserving the behavior expected of an ADS through the use of an Extension Block containing attribute location data.

Abstract: Methods and systems for data management include representing, organizing, and accessing very large data sets. Embodiments describe supporting data sets of various size based on attributed data slices (ADSs) to enable reduced memory requirements, query decomposition and parallel execution, and constant execution times for concurrent queries. The ADSs can include data buckets comprising items that are grouped by an attribute key. Attribute groups can be further sorted (e.g., in ascending order) based on the attribute key. According to some embodiments, the essential structure of an ADS provides additional functionality while preserving the behavior expected of an ADS through the use of an Extension Block containing attribute location data.

Abstract: A system and method for detecting and resolving mis-transcriptions in a transcript generated by an automatic speech recognition system when transcribing spoken words. The system and method receive a machine language generated transcript of a speech signal by at least one of a first machine learning system and a second machine learning system, and analyze the machine language generated transcript to find a region of low confidence indicative of a mis-transcription and predict an improvement to the region of low confidence indicative of the mis-transcription. The system and method select a replacement word for the mis-transcription based on the predicted improvement to the region of low confidence and replace the mis-transcription by the replacement word to generate a corrected transcript.

Abstract: A system and method for fraud detection and management are provided. The system includes a first communication device that receives a phone call from a second communication device, wherein a call flow of the phone call comprises one or more distinct phases. The system also includes a fraud detection and management system (FDMS) platform that determines whether the phone call exceeds a predetermined risk threshold at each distinct phase of the call flow.

Abstract: A system and method for fraud detection for a telephony platform based on an analysis of call detail records (CDRs) that are generated by the telephony platform. The analysis is based on collecting, organizing, transforming, analyzing, and quantifying the CDR data into a plurality of data analytics and data correlations and then applying fuzzy logic to the data analytics to generate a fraud risk rating for each incoming call into the platform.

Abstract: A system and method for fraud detection for a telephony platform based on an analysis of call detail records (CDRs) that are generated by the telephony platform. The analysis is based on collecting, organizing, transforming, analyzing, and quantifying the CDR data into a plurality of data analytics and data correlations and then applying fuzzy logic to the data analytics to generate a fraud risk rating for each incoming call into the platform.

Abstract: Implementations of the present disclosure involve systems and methods for federating communications between a first network that transmits and receives messages formatted in a first format and a second network that transmits and receives messages formatted in a second format. The systems and methods are configured to receive a message from the first network formatted in the first format. The system then converts the message into a unified format that may be sent to the second network. After receiving the message in the unified format, the message may then be converted into the format of the second network and sent on the second network like any other message on the second network.

Abstract: Implementations of the present disclosure involve systems and methods for federating communications between a first network that transmits and receives messages formatted in a first format and a second network that transmits and receives messages formatted in a second format. The systems and methods are configured to receive a message from the first network formatted in the first format. The system then converts the message into a unified format that may be sent to the second network. After receiving the message in the unified format, the message may then be converted into the format of the second network and sent on the second network like any other message on the second network.

Abstract: Implementations of the present disclosure involve a system and method for federating communications between a first network that transmits and receives messages formatted in a first format and a second network that transmits and receives messages formatted in a second format. The system and method are configured to receive a message from the first network formatted in the first format. The system then converts the message into a unified format that may be sent to the second network. After receiving the message in the unified format, the message may then be converted into the format of the second network and sent on the second network like any other message on the second network.

Abstract: Systems, methods and apparatus are described herein for continuously measuring voice clarity and speech intelligibility by evaluating a plurality of telecommunications channels in real time. Voice clarity and speech intelligibility measurements may be formed from chained, configurable DSPs that can be added, subtracted, reordered, or configured to target specific audio features. Voice clarity and speech intelligibility may be enhanced by altering the media in one or more of the plurality of telecommunications channels. Analytics describing the measurements and enhancements may be displayed in reports, or in real time via a dashboard.