Pelecanos
Dimitrios Pelecanos, Kista SE
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20130176858 | Method for Determining a Severity of a Network Incident - The invention relates to a method for determining a severity of a network incident causing a network alarm in a communication network. The method comprises obtaining ( | 07-11-2013 |
Jagon Pelecanos, Ossining, NY US
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20080235007 | SYSTEM AND METHOD FOR ADDRESSING CHANNEL MISMATCH THROUGH CLASS SPECIFIC TRANSFORMS - A method and system for speaker recognition and identification includes transforming features of a speaker utterance in a first condition state to match a second condition state and provide a transformed utterance. A discriminative criterion is used to generate a transform that maps an utterance to obtain a computed result. The discriminative criterion is maximized over a plurality of speakers to obtain a best transform for recognizing speech and/or identifying a speaker under the second condition state. Speech recognition and speaker identity may be determined by employing the best transform for decoding speech to reduce channel mismatch. | 09-25-2008 |
Jason Pelecanos, Ossining, NY US
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20080208581 | Model Adaptation System and Method for Speaker Recognition - A system and method for speaker recognition speaker modelling whereby prior speaker information is incorporated into the modelling process, utilising the maximum a posteriori (MAP) algorithm and extending it to contain prior Gaussian component correlation information. Firstly a background model ( | 08-28-2008 |
Jason W. Pelecanos, Ossining, NY US
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20080222722 | Method and Apparatus for Sequential Authentication Using One or More Error Rates Characterizing Each Security Challenge - Methods and apparatus are provided for sequential authentication of a user that employ one or mole error rates characterizing each security challenge. According to one aspect of the invention, a user is challenged with at least one knowledge challenge to obtain an intermediate authentication result; and the user challenges continue until a cumulative authentication result satisfies one or more criteria. The intermediate authentication result is based, for example, on one or more of false accept and false reject error probabilities for each knowledge challenge. A false accept error probability describes a probability of a different user answering the knowledge challenge correctly. A false reject error probability describes a probability of a genuine user not answering the knowledge challenge correctly. The false accept and false reject error probabilities can be adapted based on field data or known information about a given challenge. | 09-11-2008 |
20080235020 | METHOD AND APPARATUS FOR TRAINING A TEXT INDEPENDENT SPEAKER RECOGNITION SYSTEM USING SPEECH DATA WITH TEXT LABELS - There is provided an apparatus for providing a Text Independent (TI) speaker recognition mode in a Text Dependent (TD) Hidden Markov Model (HMM) speaker recognition system and/or a Text Constrained (TC) HMM speaker recognition system. The apparatus includes a Gaussian Mixture Model (GMM) generator and a Gaussian weight normalizer. The GMM generator is for creating a GMM by pooling Gaussians from a plurality of HMM states. The Gaussian weight normalizer is for normalizing Gaussian weights with respect to the plurality of HMM states. | 09-25-2008 |
20080281596 | CONTINUOUS ADAPTATION IN DETECTION SYSTEMS VIA SELF-TUNING FROM TARGET POPULATION SUBSETS - The present invention provides a system and method for treating distortion propagated though a detection system. The system includes a compensation module that compensates for untreated distortions propagating through the detection compensation system, a user model pool that comprises of a plurality of model sets, and a model selector that selects at least one model set from plurality of model sets in the user model pool. The compensation is accomplished by continually producing scores distributed according to a prescribed distribution for the at least one model set and mitigating the adverse effects of the scores being distorted and lying off a pre-set operating point. | 11-13-2008 |
20120290297 | Speaker Liveness Detection - A signal representative of an unpredictable audio stimulus is provided to a putative live speaker within a putative live recording environment. A second signal purportedly emanating from the putative live speaker and/or the environment is received. This second signal is examined for influence of the unpredictable audio stimulus on the putative live speaker and/or the putative live recording environment. The examining includes at least one of audio feedback analysis, Lombard analysis, and evoked otoacoustic response analysis. Based on the examining, a determination is made as to whether the putative live speaker is an actual live speaker and/or whether the putative live recording environment is an actual live recording environment. | 11-15-2012 |
Jason William Pelecanos, Ossining, NY US
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20080257047 | MACHINE AND OPERATING ENVIRONMENT DIAGNOSTICS, DETECTION AND PROFILING USING SOUND - A method, system and program storage device are provided for machine diagnostics, detection and profiling using pressure waves, the method including profiling known sources, acquiring pressure wave data, analyzing the acquired pressure wave data, and detecting if the analyzed pressure wave data matches a profiled known source; the system including a processor, a pressure wave transducer in signal communication with the processor, a pressure wave analysis unit in signal communication with the processor, and a source or threat detection unit in signal communication with the processor; and the program storage device including program steps for profiling known sources, acquiring pressure wave data, analyzing the acquired pressure wave data, and detecting if the analyzed pressure wave data matches a profiled known source. | 10-23-2008 |