Abstract: An apparatus for Voice over IP capturing in a network, comprising: a data receiver, tapping the network and configured to receive at least one data packet transmitted in the network, a VoIP identifier, associated with the data receiver, configured to determine if the received data packet is a VoIP data packet qualifying for forwarding to a capture device, and a forwarder, associated with the VoIP identifier, configured to forward a copy of the qualifying VoIP data packet to at least one capture device, and to forward the received data packets back to the network.

Abstract: System for enhancing existing quality monitoring tools for monitoring and guiding agent performance within call centers, each of which provided with a plurality of agent terminals, a plurality of agent audio interfaces, and a plurality of software applications. The proposed system comprises a module for quality evaluation of agents skills and/or of compliance with business processes; a database for storing the results of the evaluation module, in the form of a plurality of profiles of performance; a Call Analysis System (CAS) connected to the database and with the software applications, for retrieving the profile of performance associated with an agent and for generating and transmitting a visual or textual or audio input regarding corrective and/or preventive action(s) required during the current interaction, to an agent terminal, based on the performance profile, and/or on acquired real-time call-based information, as defined by predetermined criteria.

Abstract: A system and method for constructing a signal propagation model in a wireless communication system such as a cellular system based on at least one received wireless signal correlated to a geographic location.

Abstract: A computerized method of predicting customer churn from an organization, including: receiving at a computer server a recorded customer interaction with an agent of the organization; analyzing the received customer interaction to extract basic features that provide an indication regarding the churn probability of the customer; extracting the entity information of the customer from the recorded interaction; retrieving from a database accessible by the server previous interactions for the same entity and extracting advanced features that provide an indication regarding the churn probability of the customer by comparing multiple interactions of the same entity; predicting a churn probability for the received interaction by applying a statistical customer churn model to the extracted basic features and extracted advanced features; and wherein the interaction and the previous interactions are recordable from more than one type of communication channel by which the customer can communicate with the organization.

Abstract: A system and method for recording and/or monitoring data by forwarding it, with or without analyzing or otherwise filtering the data itself are provided. According to embodiments of the invention, the system and method are operative over IP networks. According to an embodiment of the invention, there is provided a system and method for forwarding data according to at least one characteristic of the data, such as the session's metadata for example, without analyzing or otherwise filtering the data itself. According to another embodiment of the invention, before the data is forwarded to the recording device, pre-processing algorithms are performed according to a system preset or according to one or more rules.

Abstract: System and method for recording telephone calls comprising receiving computer telephony integration fields from first and second sources, identifying which of the CTI fields are physical CTI fields to be used for locating audio to be recorded, identifying which of the CTI fields are logical CTI fields, identifying one of the physical CTI fields received from the first source and one of the logical CTI fields received from the second source as being related to a specific telephone call and recording said telephone call based on audio location information from the physical CTI field associated with the call.

Abstract: Some embodiments of the present invention are directed to a method and system for monitoring and recording voice from circuit-switched switches via a packet-switched network. A circuit-switched or VoIP recording system may record and/or live-monitor telephone calls by trunk and/or extension tapping over a packet-switched network. Alternatively, a circuit-switched or VoIP recording system may record and/or live-monitor telephone calls over a packet-switched network by activating the service observation feature of the circuit-switched switch either by feature code dialing or a computer telephony integration (CTI) link command.

Abstract: A method and apparatus for providing real-time assistance related to an interaction associated with a contact center, comprising steps or components for: receiving at least a part of an audio signal of an interaction captured by a capturing device associated with an organization, and metadata information associated with the interaction; performing audio analysis of the at least part of the audio signal, while the interaction is still in progress to obtain audio information; categorizing at least a part of the metadata information and the audio information, to determine a category associated with the interaction, while the interaction is still in progress to obtain audio information; and taking an action associated with the category.

Abstract: A method and system for indicating in real time that an interaction is associated with a problem or issue, comprising: receiving a segment of an interaction in which a representative of the organization participates; extracting a feature from the segment; extracting a global feature associated with the interaction; aggregating the feature and the global feature; and classifying the segment or the interaction in association with the problem or issue by applying a model to the feature and the global feature. The method and system may also use features extracted from earlier segments within the interaction. The method and system can also evaluate the model based on features extracted from training interactions and manual tagging assigned to the interactions or segments thereof.

Abstract: A method and apparatus for spotting a target speaker within a call interaction by generating speaker models based on one or more speaker's speech; and by searching for speaker models associated with one or more target speaker speech files.

Abstract: An apparatus and method for the event-driven analysis of media contents derived from customer interactions is disclosed. Content analysis is executed exclusively on those segments of the interaction media that are relevant in a given context. The steps of the analysis are carried out either in a static or dynamic manner where less demanding on resources analysis type is performed prior to more demanding analysis type.

Abstract: A method and apparatus for automatically detecting sentiment in interactions. The method and apparatus include training, in which a model is generated upon features extracted from training interactions and tagging information. and run-time in which the model is used towards detecting sentiment in further interactions. The method and apparatus train and use models for classifying context units as containing sentiment or not, the models generated upon tagging data for indicating whether the context units indeed contain sentiment, and the sentiment polarity and intensity within the context unit. A further, upper level model is generated for providing a total score for the interaction, based on the sentiment detected and the classification scores of context units within the interaction.

Abstract: An apparatus and methods for capturing and analyzing customer interactions the apparatus comprising interaction information units, interaction meta-data information units associated with each of the interaction information units, a rule based analysis engine component for receiving the interaction information, an adaptive database, an interaction capture and storage component for capturing interaction information, a multi segment interaction capture device, an initial set up and calibration device and a pre processing and content extraction device.

Abstract: An apparatus and method for an improved audio analysis process is disclosed. The improvement concerns the accuracy level of the results and the rate of false alarms produced by the audio analysis process. The proposed apparatus and method provides a three-stage audio analysis route. The three-stage analysis process includes a pre-analysis stage, a main analysis stage and a post analysis stage.

Abstract: The present invention provides a method and apparatus (100) for capturing and analyzing customer interactions, the apparatus comprising a multi-segment interaction capture device (324), an initial set up and calibration device (326), a pre-processing and context extraction device (328) and a rule-based analysis engine (300).

Abstract: A method and apparatus for verifying the authenticity and integrity of an ordered sequence of digital video frames, without having access to the original recording, by embedding therein a respective series of digital signatures based on a secret key, or keys, and on the video content of respective frames. Signatures are camouflaged by embedding in transform coefficients of a transformed representation of the video data in parts of the frame corresponding to motion. If there is sufficient motion to contain all of the signature bits, a supplementary technique embeds in high-texture areas of a frame. A final fall-back is to embed in a pre-defined default zone. A method of predicting when supplementary embedding is needed enables the process to be applied in a single pass allowing real-time operation. Verification is done during decoding by comparing, for identity, embedded signatures with signatures calculated anew using the method employed to embed.

Abstract: A method and apparatus for improving speech recognition results for an audio signal captured within an organization, comprising: receiving the audio signal captured by a capturing or logging device; extracting a phonetic feature and an acoustic feature from the audio signal; decoding the phonetic feature into a phonetic searchable structure; storing the phonetic searchable structure and the acoustic feature in an index; performing phonetic search for a word or a phrase in the phonetic searchable structure to obtain a result; activating an audio analysis engine which receives the acoustic feature to validate the result and obtain an enhanced result.

Abstract: A method and apparatus for determining whether a speaker uttering an utterance belongs to a predetermined set comprising known speakers, wherein a training utterance is available for each known speaker. The method and apparatus test whether features extracted from the tested utterance provide a score exceeding a threshold when matched against one or more of models constructed upon voice samples of each known speaker. The method and system further provide optional enhancements such as determining, using, and updating model normalization parameters, a fast scoring algorithm, summed calls handling, or quality evaluation for the tested utterance.

Abstract: A method and apparatus for automatically sectioning an interaction into sections, in order to get more insight into interactions. The method and apparatus include training, in which a model is generated upon training interactions and available tagging information, and run-time in which the model is used towards sectioning further interactions. The method and apparatus operate on context units within the interaction, wherein each context unit is characterized by a feature vector relate to textual, acoustic or other characteristics of the context unit.

Abstract: A fraud detection method for generating a first fraud or fraud attempt probability, within an at least one captured or recorded interaction, is provided. The method comprises a scoring step for scoring an at least one voice belonging to an at least one tested speaker in the at least one captured or recorded interaction against an at least one voice print within an at least one entry in a voice print collection, the scoring step generating an at least one probability that the at least one voice in the captured or recorded interaction belongs to an at least one second speaker associated with the at least one voice print, said at least one probability represents the probability that the at least one captured or recorded interaction is fraudulent; and an auditing step for auditing the at least one probability and the at least one captured or recorded interaction.