NICE Systems

About: NICE Systems is a based out in . It is known for research contribution in the topics: Session (computer science) & Audio signal. The organization has 277 authors who have published 197 publications receiving 5264 citations.

Method, apparatus and system for capturing and analyzing interaction based content

Abstract: 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).

Telephone call monitoring system

Abstract: A method for monitoring agent telephonic interactions with customers, the method including a) receiving a CTI datum associated with a telephone call between an agent and a party, b) determining whether the telephone call is to be recorded by determining whether the CTI datum meets at least one predefined monitoring condition, and, if so, c) recording at least a portion of the telephone call.

Method and apparatus for fraud detection

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.

Method and system for automatic quality evaluation

Abstract: A method and apparatus for automatic quality evaluation of an activity related to an organization, such as an agent of an organization which interacts with a calling party, a product, a campaign or the like, based on any combination of one or more of the following: the interaction itself and particularly its vocal part; meta data related to the call, to the call parties or to the environment; information extracted from the call or general information. The method may be activated off-line or on-line, in which case all alert can be generated for one or more calls.

Method and apparatus for large population speaker identification in telephone interactions

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.