Abstract: This invention pertains to a method by which the frequency and the modulation characteristics of a wire or wirelessly transmitted signal can be identified in a matter of milliseconds with significantly higher speed and accuracy than with existing or prior art receivers and spectrum analyzers, without erroneous image signals. Such signals can be then demodulated and decisions made based upon the demodulated data. The system then can be reconfigured to act as a transmit-receive module, with the transmit frequency enabled to address many different applications. This has applications in, terrestrial and satellite communications, and defense.

Abstract: This invention describes a method by which the frequency and the modulation characteristics of a wire or wirelessly transmitted signal can be identified in a matter of milliseconds with significantly higher speed and accuracy than with existing or prior art receivers and spectrum analyzers, without erroneous image signals. Such signals can be then demodulated and decisions made based upon the demodulated data. The system then can be reconfigured to act as a transmit-receive module, with the transmit frequency enabled to address many different applications. This has applications in, terrestrial and satellite communications, and defense.

Abstract: This invention describes a method by which Broadband Spectrum Analysis can be performed in the RF and Microwave frequency range with significantly higher speed, accuracy, and flexibility than existing RF and Microwave Spectrum Analyzers. This is done by eliminating the need for the filtering of the incoming signal, a process called preselection that needs to track in frequency with the scanning local oscillator in the instrument. By eliminating this requirement, this invention makes possible the identification and analysis of very broadband signals in a single sweep using an Adaptive Sweep Methodology and a Simultaneous Sweep capability that the present invention makes possible.

Abstract: This invention describes a method by which Broadband Spectrum Analysis can be performed in the Rh and Microwave frequency range with significantly higher speed, accuracy, and flexibility than existing RF and Microwave Spectrum Analyzers. This is done by eliminating the need for the filtering of the incoming signal, a process called preselection that needs to track in frequency with the scanning local oscillator in the instrument. By eliminating this requirement, this invention makes possible the identification and analysis of very broadband signals in a single sweep using an Adaptive Sweep Methodology and a Simultaneous Sweep capability that the present invention makes possible.

Abstract: This invention describes a method by which a low cost low phase noise Phase Locked Loop or Phase Locked Loop based Frequency Synthesizer can be realized. The new method, called a Translational Phase Lock Loop or TPLL, allows the conversion of a traditional voltage controlled oscillator or VCO signal so that the phase noise of the VCO signal is substantially identical to the noise that the loop is aimed to correct via comparison to a low noise reference oscillator. It overcomes additional problems associated with traditional and prior art phase lock loops in terms of unwanted spurious signals, complexity, and cost.

Abstract: This invention describes a method by which a low cost low phase noise Phase Locked Loop or Phase Locked Loop based. Frequency Synthesizer can be realized. The new method, called a Translational Phase Lock Loop or TPLL, allows the conversion of a traditional voltage controlled oscillator or VCO signal so that the phase noise of the VCO signal is substantially identical to the noise that the loop is aimed to correct via comparison to a low noise reference oscillator. It overcomes additional problems associated with traditional and prior art phase lock loops in terms of unwanted spurious signals, complexity, and cost.

Abstract: An authentication framework is provided which enables dynamic user authentication that combines multiple authentication objects using a shared context and that permits customizable interaction design to suit varying user preferences and transaction/application requirements. Such a framework provides a high degree of flexibility, accuracy, convenience and robustness. In one illustrative aspect of the invention, an automated technique for user authentication comprises the following steps/operations. First, user input is obtained. At least a portion of the user input is associated with two or more verification objects. Then, the user is verified based on the two or more verification objects in accordance with at least one verification policy operating on a context shared across the two or more verification objects.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for dynamically assigning weights to the subset of commands in a natural language dialog system based on prior context of the user's interaction with the system. The search space of the translation process may be reduced when some context information is available. A user presents input to the natural language understanding system. The system translates the user input into a formal command and calculates a weight value for a next set of formal commands based on the formal command. The command weights may then be dynamically boosted for the next set of formal commands before executing the formal command. The exemplary aspects of the present invention reduce the time needed to complete a task since the search space of the translation process may be reduced if context information is available and improve the accuracy of the process by using knowledge that users regularly use repeating patterns for repeating tasks.

Abstract: 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.

Abstract: Methods and apparatus are provided for sequential authentication of a user that employ one or more 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.

Abstract: 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.

Abstract: User interaction management techniques are disclosed. In a first aspect of the invention, an automated technique for managing interaction between a user and a system includes the following steps/operations. A skill level of a user accessing the system is determined. Then, a user interaction profile is modified based on the determined skill level of the user. In a second aspect of the invention, an automated technique for generating a skill level classifier for use in classifying users interacting with a system includes the following steps/operations. Input from multiple users having various skill levels is obtained. Then, a classifier is trained using the obtained input from the multiple users such that the classifier automatically detects in which category of interaction skills a subsequent user belongs. In a third aspect of the invention, an automated technique for adapting a classifier for use in classifying users interacting with a system includes the following steps/operations.

Abstract: 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.

Abstract: The present invention describes a framework for the analytical and visual analysis and tuning of complex speaker verification systems guided by a policy finite state machine. The Receiver Operating Curve associated with the acoustic speaker recognition task is transformed into a multi-dimensional Receiver Operating Map (ROM), which results from a probabilistic analysis of the policy state machine. A Detection Cost Function (DCF) Map can be similarly generated. Results indicating that optimization over this surface (or the ROM) is an appropriate way to set thresholds are given.

Abstract: A method and apparatus for remote access to a target application is disclosed where a system administrator may establish telephonic contact with an interactive voice response system and obtain access to the target application by speech communication. The interactive response system may authenticate the system administrator by implementing various measures including biometric measures. Once access is granted, the interactive response system may broker a communication between the target application using text/data and the system administrator using natural language.

Abstract: In large-scale deployments of speaker recognition systems the potential for legacy problems increases as the evolving technology may require configuration changes in the system thus invalidating already existing user voice accounts. Unless the entire database of original speech waveform were stored, users need to reenroll to keep their accounts functional, which, however, may be expensive and commercially not acceptable. Model migration is defined as a conversion of obsolete models to new-configuration models without additional data and waveform requirements. The present disclosure investigates ways to achieve such a migration with minimum loss of system accuracy.

Abstract: Methods and arrangements for assessing the identity of an individual. Input is accepted from an individual, and at least one user group is attributed to the individual. This attributing is repeated until the identity of the individual is assessed.

Abstract: A system and method for recognizing commands in natural language includes a speech recognizer for decoding language and semantic information in utterances provided by a user. A dialog manager provides a hierarchical ordering of handlers, each handler being trained to be responsive to decoded utterances. The dialog manager manages arbitration between the handlers to determine a winning handler for an utterance and decodes the command in accordance with the winning handler.