Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

Abstract: A method for locating of a wireless device, performed by a third party, comprising: communicating with the wireless device in a silent call, to compel the wireless device to continuously emit signals; activating a monitoring apparatus to monitor the signals emitted from the wireless device; resetting an idling timer means of the wireless device, such that the silent call is not ended by the wireless device, identifying a relative location from which the signals become stronger and locating the wireless device; and terminating the silent call.

Abstract: When using Web intelligence (“Webint”) to collect information regarding a target social network user, one of the most valuable pieces of information is the target user's List-Of-Friends (LOF). In some cases, however, the LOF of the target user is not accessible in his profile. Herein are described methods and systems for identifying the LOF of a target user. An analysis system crawls the profiles of social network users, other than the target user, and reconstructs the LOF of the target user from the crawled profiles.

Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.

Abstract: An embodiment of the method of processing communication data to identify one or more themes within the communication data includes identifying terms in a set of communication data, wherein a term is a word or short phrase, and defining relations in the set of communication data based on the terms, wherein the relation is a pair of terms that appear in proximity to one another. The method further includes identifying themes in the set of communication data based on the relations, wherein a theme is a group of one or more relations that have similar meanings, and storing the terms, the relations, and the themes in the database.

Abstract: Methods and systems for applying surveillance to client computers that communicate via proxy servers. A decoding system accepts communication packets from a communication network. Based on the received packets, the decoding system identifies that a certain client computer conducts a communication session with a target server via a proxy server. The decoding system processes the packets so as to correlate the identity of the client computer with the identity of the target server. The correlated identities may comprise, for example, Internet Protocol (IP) addresses or Uniform Resource Locators (URLs).

Abstract: A video system for video surveillance or video monitoring includes a video source, a video control system, and a video management system. The video management system is configured to receive configuration data and generate maps based on the configuration data, wherein at least one of the maps is associated with the video source. The video management system displays the map associated with the video source and displays a graphical symbol on the map which indicates the location of the video source. The video management system then receives a selection of the video source, receives information associated with the selected video source, and displays the received information.

Abstract: Systems and methods to track the respective locations of subjects over time. The system identifies subjects who, over time, were co-located with one another suggesting they are associated with one another, and the pairs are analyzed. For each of the subjects, the system produces a vector that quantifies the subject's location history by including a respective weight for each combination of a time interval with a geographical area. The vectors are compared using a distance metric, and any pair of subjects whose vectors are sufficiently close are flagged as being an associated pair. The respective vector belonging to each subject is normalized to account for the total number of other subjects who were co-located with the subject. For each interval-area pair, the system may compute the frequency of the interval-area pair, and then divide each weight that corresponds to the interval-area pair by the frequency of the interval-area pair.

Abstract: Systems and methods of detecting irregular events include the extraction of values for measure in each of a plurality of notifications. The extracted values are stored in a measures database and a distribution is calculated for the values of each of the measures. The extracted values are compared to the calculated distributions to determine if an irregular event has occurred. An irregularity alert is produced if an irregular event has occurred.

Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.

Abstract: Methods for obtain identifiers, such as International Mobile Subscriber Identities (IMSIs) and International Mobile Station Equipment Identities (IMEIs), of mobile communication terminals, and associate these identifiers with other items of identifying information provided by users of the terminals. A local interrogation device may be installed that imitates a legitimate base station belonging to a cellular network, at a control checkpoint. Local interrogation devices are connected to a global interrogation device in a hierarchical network, whereby the local interrogation devices are assigned a priority that is higher than that of the global interrogation device. The global interrogation device provides cellular coverage to a larger area that contains the control checkpoints, while the local interrogation devices provide more localized cellular coverage to the control checkpoints.

Abstract: A system and method to determine a flow direction automatically so that counter-flow motion may be detected without user calibration is disclosed. The system and method utilize information available from existing video compression algorithms to sense motion and determine a flow direction. Once a flow direction for an area is determined, the system and method can detect counter-flow motion using compressed video without any decompression, thereby improving the speed of detection and simplifying the computational complexity. These improvements facilitate counter-flow alarms and expand the information available to a user monitoring the video.

Abstract: Cameras for use in a video surveillance system that is controlled by a video management system (VMS) may have a variety of operating characteristics and capabilities. For a VMS to communicate effectively with each camera, a file must be created for use by the VMS to that specifies how to connect with and operate the camera according to the camera's available and functioning capabilities. The verification of the camera's available/functioning capabilities and the creation of the file is a resource-consuming process known as certification. Disclosed herein are systems and methods that automate the certification process to make certifying cameras more efficient and cost effective.

Abstract: Systems and methods for obtaining authentication vectors issued, for use by a mobile communication terminal, by a Home Location Register (HLR) that serves a cellular communication network independently of any cooperation with the cellular network. Further to obtaining the authentication vectors, a terminal is caused to communicate over a WiFi WLAN using an encryption key derived from the obtained authentication vectors, e.g., per the EAP-SIM or EAP-AKA protocol. Since the encryption key is known, communication from the terminal is decrypted. The authentication vectors may be obtained by (i) an “impersonating” Visitor Location Register (VLR) server that does not serve the cellular network; (ii) an interrogation device which, by imitating a legitimate base station serving the cellular network, solicits the mobile communication terminal to associate with the interrogation device; or (iii) an SS7 probe, which obtains authentication vectors communicated from the HLR server to other entities on the SS7 network.

Abstract: Systems, methods, and media for the automated removal of private information are provided herein. In an example implementation, a method for automatic removal of private information may include: receiving a transcript of communication data; applying a private information rule to the transcript in order to identify private information in the transcript; tagging the identified private information with a tag comprising an identification of the private information; applying a complicate rule to the tagged transcript in order to evaluate a compliance of the transcript with privacy standards; removing the identified private information from the transcript to produce a redacted transaction; and storing the redacted transcript.

Abstract: Systems and methods of script identification in audio data obtained from audio data. The audio data is segmented into a plurality of utterances. A script model representative of a script text is obtained. The plurality of utterances are decoded with the script model. A determination is made if the script text occurred in the audio data.

Abstract: Systems and methods of script identification in audio data obtained from audio data. The audio data is segmented into a plurality of utterances. A script model representative of a script text is obtained. The plurality of utterances are decoded with the script model. A determination is made if the script text occurred in the audio data.

Abstract: Systems and methods of script identification in audio data obtained from audio data. The audio data is segmented into a plurality of utterances. A script model representative of a script text is obtained. The plurality of utterances are decoded with the script model. A determination is made if the script text occurred in the audio data.

Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.

Abstract: Disclosed herein are methods of diarizing audio data using first-pass blind diarization and second-pass blind diarization that generate speaker statistical models, wherein the first pass-blind diarization is on a per-frame basis and the second pass-blind diarization is on a per-word basis, and methods of creating acoustic signatures for a common speaker based only on the statistical models of the speakers in each audio session.