Abstract:
A computerized system for summarizing agreements between two or more parties, comprises one or more processors. The processors may be configured to capture data relating to the agreement, such as agent screen data during an interaction with a customer. The data may be captured in successive capture operations each in response to an event, such as an agent key press or data entry. The captured data may be used to prepare a continuous text summarizing the agreement. An audio summary of the agreement may be derived from the text and played to at least one of the parties.
Abstract:
A system and method for detecting and monitoring screen connectivity malfunctions, and generating alerts regarding presence of connectivity malfunctions, while identifying the user interface element that caused the connectivity malfunction.
Abstract:
A method, computerized apparatus and computer program product for determining script compliance in interactions, the method comprising: receiving one or more indexed audio interaction; receiving a text representing a script; automatically extracting two or more key terms from the script; automatically generating a query representing the script, comprising: receiving one or more constraint associated with the at least two key terms; and determining spotted key terms of the key terms that appear in the indexed audio interactions; determining complied constraints based on a number of words difference between two key terms of the at least two key terms; and determining a relevance score for each of the indexed audio interactions, based on the spotted key terms and the complied constraints.
Abstract:
Embodiments of the disclosed subject matter include a system and method for improving a phrase spotting score. The method may include providing a test speech and a transcription thereof, obtaining an input phrases in a textual form for spotting in the provided test speech, generating a phonetic transcription for the input phrase, and applying a classifying model to the phonetic transcription of the test speech according to a posterior probability feature and to a set of phrase spotting features related to the input phrase, the phrase spotting features selected from features extracted from a decoding process of the phrase, context-based features, and/or a combination thereof, thereby spotting the given phrase with a confidence score. The classifying model is priorly trained for spotting the input phrase according to the posterior probability feature and to the plurality of phrase spotting features.
Abstract:
A system and method for managing video storage in a network including continuously receiving in real time, at a recording server, from an edge device having a local storage, a plurality of incoming packets pertaining to a video stream, determining that at least one packet of the video stream is missing, and retrieving from the edge device the missing packets stored in the local storage, while continuing receiving additional incoming packets pertaining to the video stream in real time.
Abstract:
Systems and methods for text normalization in a plurality of noisy channels receive a text entry and channel origin data of the text entry; determine whether the text entry matches an in-vocabulary (IV) entry or whether the text entry is an out-of-vocabulary (OOV) entry; if the text entry is determined to have a matching IV entry, output the matching IV entry, and if the text entry is determined to be an OOV entry, implement a channel-specific error-type adapter framework based on the channel origin data, wherein the channel-specific error-type adapter framework is optimized for a specific channel from which the text entry originated; normalize the text entry using the channel-specific error-type adapter framework; and output one or more candidate normalized forms of the text entry.
Abstract:
A generic categorization method may include receiving interaction data on a distributed computing system operating on a plurality of computing nodes. The distributed computing system may distribute the received interaction data across the plurality of nodes. On each node, categorization rules may be applied to the interaction data via parallel processing. The results, which may include a category associated with each interaction, may be written to a distributed storage system. A user interface may allow a user to define the categorization rules and schemas of interaction data.
Abstract:
A system and method for searching for an element in speech related documents may include transcribing a set of speech recordings to a set of phoneme strings and including the phoneme strings in a set of phonetic transcriptions. A system and method may reverse-index the phonetic transcriptions according to one or more phonemes such that the one or more phonemes can be used as a search key for searching the phoneme in the phonetic transcriptions. A system and method may transcribe a textual search term into a set of search phoneme strings and use the set of search phoneme strings to search for an element in the set of phonetic transcriptions.
Abstract:
Methods and systems for calculating a current response rate to an offer are disclosed. Examples of offers include but are not limited to design options for a web page and scripts used by operators in a call center. An offer may be served multiple times to one or more users and the current response rate may be determined for a point in time. The method may comprise obtaining estimates of response rate in successive iterations of response rate estimation. Each estimate may be determined over a period of time ending at the point in time, and each estimate may be determined over a larger period of time than the previous estimate. A range of uncertainty may be defined by upper and lower bounds for the estimates of response rate, with at least the first estimate being within the range of uncertainty. Each estimate may be compared to one or both of the upper and lower bounds and the result of the comparison may be used in the selection of one of the estimates as the calculated current response rate.
Abstract:
A computing system comprising multiple computing resources in which one resource assumes spare status using a spare election algorithm. According to the algorithm each computing resource on initialization requests permission to assume spare state from the other computing resources. Then if all of the other computing resources grant the permission the requesting computing resource assumes spare state. If one of the other computing resources does not grant the permission to the requesting resource then the requesting resource assumes normal state.