Abstract: A method and apparatus for automated categorization of an interaction between a member of an organization and a second party. The method comprises defining one or more criteria and one or more categories, wherein each category relates to a combination of one or more criteria. The criteria involve data extracted from the interactions as well as external data. Each interaction is checked against the criteria, and is then assigned to one or more categories according to the met criteria. An optional evaluation of the categorization step, and improvement of the categorization if the evaluation results fall below a threshold are disclosed.

Abstract: A method and apparatus for segmenting an audio interaction, by locating anchor segment from each side of the interaction, iteratively classifying additional segments into one of the two sides, and scoring the resulting segmentation, If the score result is below a threshold, the process is repeated until the segmentation score is satisfactory or until a stopping criterion is met. The anchoring and the scoring steps comprise using additional data associated with the interaction, a speaker thereof, internal or external information related to the interaction or to a speaker thereof or the like.

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.

Abstract: An apparatus and method for detecting a fraud or fraud attempt in a captured interaction. The method comprising a selection step in which interactions suspected as capturing fraud attempts are selected for further analysis, and assigned a first fraud probability, and a fraud detection step in which the voice is scored against one or more voice prints, of the same alleged customer or of known fraudsters. The first fraud or fraud attempt probability is combined with the result of the scoring of the fraud detection step, to generate a total fraud or fraud attempt probability. If the total fraud or fraud attempt probability exceeds a threshold, a notification is issued. The selection, scoring and combination thereof are performed using user-defined rules and thresholds.

Abstract: An apparatus and method for detecting an emotional state of a speaker participating in an audio signal. The apparatus and method are based on the distance in voice features between a person being in an emotional state and the same person being in a neutral state. The apparatus and method comprise a training phase in which a training feature vector is determined, and an ongoing stage in which the training feature vector is used to determine emotional states in a working environment. Multiple types of emotions can be detected, and the method and apparatus are speaker-independent, i.e., no prior voice sample or information about the speaker is required.

Abstract: An apparatus and method for detecting a fraud or fraud attempt in a captured interaction. The method comprising a selection step in which interactions suspected as capturing fraud attempts are selected for further analysis, and assigned a first fraud probability, and a fraud detection step in which the voice is scored against one or more voice prints, of the same alleged customer or of known fraudsters. The first fraud or fraud attempt probability is combined with the result of the scoring of the fraud detection step, to generate a total fraud or fraud attempt probability. If the total fraud or fraud attempt probability exceeds a threshold, a notification is issued. The selection, scoring and combination thereof are performed using user-defined rules and thresholds.

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: 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: 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).