Nice Systems Ltd.

Barak Eilam

Yuval Lubowich

Moshe Wasserblat

Oren Pereg

Ilan Kor

Maor Nissan

Moshe Waserblat

Hila Lam

Moshe Wasserblant

A system for providing automatic quality management regarding a level of conformity to a specific accent, including, a recording system, a statistical model database with statistical models representing speech data of different levels of conformity to a specific accent, a speech analysis system, a quality management system. Wherein the recording system is adapted to record one or more samples of a speakers speech and provide it to the speech analysis system for analysis, and wherein the speech analysis system is adapted to provide a score of the speakers speech samples to the quality management system by analyzing the recorded speech samples relative to the statistical models in the statistical model database.

Automatic speech analysis

A method and apparatus for predicting customer churn from an organization. The method and apparatus determine an interaction churn score based on analyzing an interaction between the customer and the organization and related data. Optionally, the method and apparatus determine also a transactional churn score based on additional data related to the customer or the organization, and a combined churn score based on the interaction churn score and the transactional churn score. The interaction churn score is determined by assessing a categorization score for the interaction in association with one or more categories, and combining the categorization scores. Of further use is a retention offer mechanism for making a retention offer to the customer.

Method and apparatus for predicting customer churn

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.

Method and apparatus for fraud detection

A method and apparatus for indexing one or more audio signals using a speech to text engine and a phoneme detection engine, and generating a combined lattice comprising a text part and a phoneme part. A word to be searched is searched for in the text part, and if not found, or is found with low certainty is divided into phonemes and searched for in the phoneme parts of the lattice.

Method and apparatus for fast search in call-center monitoring

A method and apparatus for revealing business or organizational aspects of an organization in audio signals captured from interactions, broadcasts or other sources. The method and apparatus activate an efficient process to detect events within the audio signal, and then activate a more resource-consuming additional process around the detected events, thus enhancing efficiency of the process. The detected events and the output of the additional process are analyzed by an analysis process to reveal business aspects, terms, or other events in the audio signal. The analysis results, and possibly the events and output of the additional processing are optionally presented to a user.

Method and apparatus for generic analytics

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.

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Raanana, Israel

Barak Eilam