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Institution

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.


Papers
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Patent
Dharmesh V. Patel1
08 Oct 2007
Abstract: System and method for management of location based video services may allow a management server to receive information such as geographical location, from one or more mobile devices and to transfer data, such as video data or other multi-media data, from a plurality of cameras or other media sources to the mobile devices based on the received information.

34 citations

Patent
11 May 2010
TL;DR: In this paper, a method for classifying a pair of audio signals into an agent audio signal and a customer audio signal is proposed, where the input signals are associated with the agent or the customer according to the higher score combination of the input signal and the clusters.
Abstract: A method for classifying a pair of audio signals into an agent audio signal and a customer audio signal. One embodiment relates to unsupervised training, in which the training corpus comprises a multiplicity of audio signal pairs, wherein each pair comprises an agent signal and a customer signal, and wherein it is unknown for each signal if it is by the agent or by the customer. Training is based on the agent signals being more similar to one another than the customer signals. An agent cluster and a customer cluster are determined. The input signals are associated with the agent or the customer according to the higher score combination of the input signals and the clusters. Another embodiment relates to supervised training, wherein an agent model is generated, and the input signal that yields higher score against the model is the agent signal, while the other is the customer signal.

32 citations

Patent
02 Jul 2007
TL;DR: In this paper, a method and apparatus for revealing business or organizational aspects of an organization from interactions, broadcasts or other sources is presented, which classify the interactions into predefined categories and perform additional processing on interactions in one or more categories, and analysis is executed for revealing insights, trends, problems, causes for problems.
Abstract: A method and apparatus for revealing business or organizational aspects of an organization from interactions, broadcasts or other sources. The method and apparatus classify the interactions into predefined categories. Then additional processing is performed on interactions in one or more categories, and analysis is executed for revealing insights, trends, problems, causes for problems, and other characteristics within the one or more categories.

31 citations

Patent
09 Feb 2011
TL;DR: In this paper, a system and method for receiving an initial search entry to search text data was proposed, where the text data may be an N word lattice, transcribed by a text to speech engine.
Abstract: A system and method for receiving an initial search entry to search text data. The text data may be, for example, an N word lattice, transcribed by a text to speech engine. The difference between the initial search entry and one or more entries in the dictionary may be measured. One or more similar entries may be selected from the dictionary that have the smallest measures of difference to the initial search entry. The text data may be searched for the one or more selected similar entries. Each of the searched similar entries found in the text data may be displayed as a search result.

31 citations

Patent
02 May 2013
TL;DR: In this paper, a computer-implemented method for enrolling voice prints generated from audio streams, in a database was proposed, which may include receiving an audio stream of a communication session and creating a preliminary association between the audio stream and an identity of a customer that has engaged in the communication session based on identification information.
Abstract: Some aspects of the invention may include a computer-implemented method for enrolling voice prints generated from audio streams, in a database. The method may include receiving an audio stream of a communication session and creating a preliminary association between the audio stream and an identity of a customer that has engaged in the communication session based on identification information. The method may further include determining a confidence level of the preliminary association based on authentication information related to the customer and if the confidence level is higher than a threshold, sending a request to compare the audio stream to a database of voice prints of known fraudsters. If the audio stream does not match any known fraudsters, sending a request to generate from the audio stream a current voice print associated with the customer and enrolling the voice print in a customer voice print database.

30 citations


Authors

Showing all 277 results

NameH-indexPapersCitations
Yaniv Zigel21792170
Moshe Wasserblat21311164
Oren Pereg20311674
J. D. McFall19251862
Eyal Kolman1238450
Moshe Levin1228602
Yuval Lubowich1216529
Leon Portman1117438
Dan Eylon1115777
Ezra Daya1014320
Eran Halbraich910290
Igal Dvir813902
Moshe Wasserblat830491
Ronen Laperdon88224
Yaniv Gurwicz818215
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20192
20181
20171
20168
201514
201423