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Moshe Waserblat

Researcher at NICE Systems

Publications -  5
Citations -  856

Moshe Waserblat is an academic researcher from NICE Systems. The author has contributed to research in topics: Signal & Statistical model. The author has an hindex of 5, co-authored 5 publications receiving 856 citations.

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Patent

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

TL;DR: In this article, a method and apparatus for capturing and analyzing customer interactions is described, 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).
PatentDOI

Method and apparatus for speaker spotting

TL;DR: In this article, 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 multiple target speaker speech files.
Patent

Method and apparatus for segmentation of audio interactions

TL;DR: In this paper, 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.
Patent

Apparatus and method for audio content analysis, marking and summing

TL;DR: In this paper, an apparatus and method for the analysis, marking and summing of audio channel content and control data is presented, and a summed signal carrying combined audio content, marking, and data in the summed signal is generated.
Patent

Automatic speech analysis

TL;DR: A system for 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, a speech analysis system, and a quality management system, is described in this article.