| Patent application number | Description | Published |
|---|
| 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 |
| 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 |
| 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 |
| 20080255854 | SYSTEM AND METHOD USING BLIND CHANGE DETECTION FOR AUDIO SEGMENTATION - A system, method and computer program product for performing blind change detection audio segmentation that combines hypothesized boundaries from several segmentation algorithms to achieve the final segmentation of the audio stream. Automatic segmentation of the audio streams according to the system and method of the invention may be used for many applications like speech recognition, speaker recognition, audio data mining, online audio indexing, and information retrieval systems, where the actual boundaries of the audio segments are required. | 10-16-2008 |
| 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 |
| 20080270132 | METHOD AND SYSTEM TO IMPROVE SPEAKER VERIFICATION ACCURACY BY DETECTING REPEAT IMPOSTERS - A system and method for identifying an individual includes collecting biometric information for an individual attempting to gain access to a system. The biometric information for the individual is scored against pre-trained imposter models. If a score is greater than a threshold, the individual as an imposter is identified as an imposter. Other systems and methods are also disclosed. | 10-30-2008 |
| 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 |
| 20090043579 | TARGET SPECIFIC DATA FILTER TO SPEED PROCESSING - A method is presented which reduces data flow and thereby increases processing capacity while preserving a high level of accuracy in a distributed speech processing environment for speaker detection. The method and system of the present invention includes filtering out data based on a target speaker specific subset of labels using data filters. The method preserves accuracy and passes only a fraction of the data by optimizing target specific performance measures. Therefore, a high level of speaker recognition accuracy is maintained while utilizing existing processing capabilities. | 02-12-2009 |
| 20090299925 | Automatic Detection of Undesirable Users of an Online Communication Resource Based on Content Analytics - An exemplary processor-implemented method of determining whether a user of an online communication resource is an undesirable user includes the steps of building at least one model based on at least one feature of a feature set using at least one machine learning technique; and classifying the user by comparing at least one feature of the feature set that is associated with the user to the at least one model, a determination as to whether the user is an undesirable user being based at least in part on the classification of the user. | 12-03-2009 |
