Patent application number | Description | Published |
20090063866 | USER AUTHENTICATION VIA EVOKED POTENTIAL IN ELECTROENCEPHALOGRAPHIC SIGNALS - Techniques are disclosed for authentication and identification of a user by use of an electroencephalographic (EEG) signal. For example, a method for authenticating a user includes the following steps. At least one electroencephalographic response is obtained from a user in accordance with perceptory stimuli presented to the user. The user is authenticated based on the obtained electroencephalographic response. The authenticating step may be based on detection of an event-related potential in the obtained electroencephalographic response. The event-related potential may be a P300 event-related potential. The method may also include the step of enrolling the user prior to authenticating the user. The enrolling step may include a supervised enrollment procedure or an unsupervised enrollment procedure. | 03-05-2009 |
20090132230 | MULTI-HOP NATURAL LANGUAGE TRANSLATION - Illustrative embodiments provide a computer implemented method and apparatus, in the form of a data processing system, and a computer program product for optimizing a natural language translation. In one illustrative embodiment, the computer implemented method comprises receiving a request from a requester, wherein the request comprises source language data, an indication of a source language and a destination language, and determining whether a translation between the source language and the destination language is needed. Identifying a mapping between the source language and the destination language includes a set of hops, the method, responsive to a determination that the translation is needed, translates the source language data into a destination language data associated with each successive hop in the set of hops in the mapping and returns the destination language data to the requester at a destination hop. | 05-21-2009 |
20090190767 | SYSTEM AND METHOD FOR A DEVICE SOUND INTERFACE MANAGER - A system for regulating the volume and frequency content of audio producing devices, the system includes: one or more noise making objects (NMO) configured with individual sound control devices in electrical communication with a noise management server and one or more audio producing devices configured with individual sound control devices; wherein the sound control devices have electronic logic processing, storage, and communication capabilities; wherein the noise management server utilize the sound control devices to: determine whether the NMO are producing noise in the audible range of one or more audio producing devices; determine a noise characteristic of the one or more NMO; command the one or more NMO to send the noise characteristic to the one or more audio producing devices; and wherein the volume and frequency content of audio produced by the one or more audio producing devices is adjusted in response to the received noise characteristic. | 07-30-2009 |
20090192798 | METHOD AND SYSTEM FOR CAPABILITIES LEARNING - A method for task execution improvement, the method includes: generating a baseline model for executing a task; recording a user executing a task; comparing the baseline model to the user's execution of the task; and providing feedback to the user based on the differences in the user's execution and the baseline model. | 07-30-2009 |
20090254496 | SYSTEM AND METHOD FOR OPTIMIZING PATTERN RECOGNITION OF NON-GAUSSIAN PARAMETERS - A method of optimizing a function of a parameter includes associating, with an objective function for initial value of parameters, an auxiliary function of parameters that could be optimized computationally more efficiently than an original objective function, obtaining parameters that are optimum for the auxiliary function, obtaining updated parameters by taking a weighted sum of the optimum of the auxiliary function and initial model parameters. | 10-08-2009 |
20090265770 | SECURITY SYSTEM BASED ON QUESTIONS THAT DO NOT PUBLICLY IDENTIFY THE SPEAKER - A method and system for authenticating a user seeking access to a secured system in a public area. Access is granted when a user demonstrates sufficient knowledge of the user's personal characteristics stored in the system. The user initiates the access process by tapping into the stored characteristics without overtly stating information that may be overheard. The user statements reflect an awareness about the categories of user uniqueness without divulging details. The system response statements act to elicit further information from the user for response and the response statements are scored. After a cumulative score threshold is met, the user is granted access. | 10-22-2009 |
20090310939 | SIMULATION METHOD AND SYSTEM - A simulation method and system. A computing system receives a first audio and/or video data stream. The first audio and/or video data stream includes data associated with a first person. The computing system monitors the first audio and/or video data stream. The computing system identifies emotional attributes comprised by the first audio and/or video data stream. The computing system generates a second audio and/or video data stream associated with the first audio and/or video data stream. The second audio and/or video data stream includes the data without the emotional attributes. The computing system stores the second audio and/or video data stream. | 12-17-2009 |
20090313015 | MULTIPLE AUDIO/VIDEO DATA STREAM SIMULATION METHOD AND SYSTEM - A multiple audio/video data stream simulation method and system. A computing system receives first audio and/or video data streams. The first audio and/or video data streams include data associated with a first person and a second person. The computing system monitors the first audio and/or video data streams. The computing system identifies emotional attributes comprised by the first audio and/or video data streams. The computing system generates second audio and/or video data streams associated with the first audio and/or video data streams. The second audio and/or video data streams include the first audio and/or video data streams data without the emotional attributes. The computing system stores the second audio and/or video data streams. | 12-17-2009 |
20100073559 | VERBAL DESCRIPTION METHOD AND SYSTEM - A verbal description method and system. A computing system broadcasts first audio data and video data associated with the first audio data. The computing system determines that the video data comprises a graphic without a description in the first audio data. The computing system receives audible description data associated with the graphic. The computing system generates second audio data comprising the first audio data and the audible description data. The computing system synchronizes portions of the second audio data with associated portions of the video data. The computing system generates synchronized audio/video data comprising the portions of said second audio data aligned with the associated portions of said video data. The computing system broadcasts the synchronized audio/video data. | 03-25-2010 |
20110077934 | Language Translation in an Environment Associated with a Virtual Application - Methods and apparatus for language translation in a computing environment associated with a virtual application are presented. For example, a method for providing language translation includes determining languages of a user and a correspondent; determining one or more sequences of translators; determining a selected sequence of selected translators from the one or more sequences of the translators; requesting a change in virtual locations, within the computing environment associated with the virtual application, of one or more selected translator virtual representations of the selected translators to a virtual meeting location within the computing environment associated with the virtual application; and changing virtual locations of the one or more selected translator virtual representations to the virtual meeting location. One or more of determining languages, determining one or more sequences, determining a selected sequence, requesting a change in virtual locations, and changing virtual locations occur on a processor device. | 03-31-2011 |
20110282925 | DIRECTIONAL OPTIMIZATION VIA EBW - An optimization system and method includes determining a best gradient as a sparse direction in a function having a plurality of parameters. The sparse direction includes a direction that maximizes change of the function. This maximum change of the function is determined by performing an optimization process that gives maximum growth subject to a sparsity regularized constraint. An extended Baum Welch (EBW) method can be used to identify the sparse direction. A best step size is determined along the sparse direction by finding magnitudes of entries of direction that maximizes the function restricted to the sparse direction. A solution is recursively refined for the function optimization using a processor and storage media. | 11-17-2011 |
20120078834 | Sparse Representations for Text Classification - A sparse representation method of text classification is described. An input text document is represented as a document feature vector y. A category dictionary H provides possible examples [h | 03-29-2012 |
20120188446 | VERBAL DESCRIPTION - A verbal description method and system. A computing system broadcasts first audio data and video data associated with the first audio data. The computing system determines that the video data comprises a graphic without a description in the first audio data. The computing system receives audible description data associated with the graphic. The computing system generates second audio data comprising the first audio data and the audible description data. The computing system synchronizes portions of the second audio data with associated portions of the video data. The computing system generates synchronized audio/video data comprising the portions of said second audio data aligned with the associated portions of said video data. The computing system broadcasts the synchronized audio/video data. | 07-26-2012 |
20120207316 | Operation of a Noise Cancellation Device - A method for improving the performance of a noise cancellation device, the method includes determining whether one or more noise making objects (NMO) are near an audible range of the noise cancellation device and receiving a signal from the one or more NMOs indicative of a kind of noise the one or more NMOs is generating. The method also includes selecting a specific noise cancellation model to reduce an expected noise in response to the received kind of noise the one or more NMOs is generating. | 08-16-2012 |
20120213489 | SIMULATION METHOD AND SYSTEM - A simulation method and system. A computing system receives a first audio and/or video data stream. The first audio and/or video data stream includes data associated with a first person. The computing system monitors the first audio and/or video data stream. The computing system identifies emotional attributes comprised by the first audio and/or video data stream. The computing system generates a second audio and/or video data stream associated with the first audio and/or video data stream. The second audio and/or video data stream includes the data without the emotional attributes. The computing system stores the second audio and/or video data stream. | 08-23-2012 |
20120239393 | MULTIPLE AUDIO/VIDEO DATA STREAM SIMULATION - A multiple audio/video data stream simulation method and system. A computing system receives first audio and/or video data streams. The first audio and/or video data streams include data associated with a first person and a second person. The computing system monitors the first audio and/or video data streams. The computing system identifies emotional attributes comprised by the first audio and/or video data streams. The computing system generates second audio and/or video data streams associated with the first audio and/or video data streams. The second audio and/or video data streams include the first audio and/or video data streams data without the emotional attributes. The computing system stores the second audio and/or video data streams. | 09-20-2012 |
20120246669 | MULTIPLE AUDIO/VIDEO DATA STREAM SIMULATION - A multiple audio/video data stream simulation method and system. A computing system receives first audio and/or video data streams. The first audio and/or video data streams include data associated with a first person and a second person. The computing system monitors the first audio and/or video data streams. The computing system identifies emotional attributes comprised by the first audio and/or video data streams. The computing system generates second audio and/or video data streams associated with the first audio and/or video data streams. The second audio and/or video data streams include the first audio and/or video data streams data without the emotional attributes. The computing system stores the second audio and/or video data streams. | 09-27-2012 |
20120253784 | LANGUAGE TRANSLATION BASED ON NEARBY DEVICES - A device, method, and computer program for performing language translation. An example embodiment may include a communications module configured to receive device data from a nearby device. A constraint module is configured to limit a translation domain of the language translation based on the device data. Language translation is performed within the limited translation domain. | 10-04-2012 |
20130024403 | AUTOMATICALLY INDUCED CLASS BASED SHRINKAGE FEATURES FOR TEXT CLASSIFICATION - A method and apparatus are provided for automatically inducing class based shrinkage features. The method includes clustering each word in a set of word groupings of a given type into a respective one of a plurality of classes. The method further includes selecting and extracting a set of class-based shrinkage features from the set of word groupings based on the plurality of classes. The set of class-based shrinkage features is specifically selected for an intended classification application. | 01-24-2013 |
20130073276 | MT Based Spoken Dialog Systems Customer/Machine Dialog - Operation of an automated dialog system is described using a source language to conduct a real time human machine dialog process with a human user using a target language. A user query in the target language is received and automatically machine translated into the source language. An automated reply of the dialog process is then delivered to the user in the target language. If the dialog process reaches an initial assistance state, a first human agent using the source language is provided to interact in real time with the user in the target language by machine translation to continue the dialog process. Then if the dialog process reaches a further assistance state, a second human agent using the target language is provided to interact in real time with the user in the target language to continue the dialog process. | 03-21-2013 |
20130086059 | Method for Discovering Key Entities and Concepts in Data - A method of automatically processing text data is described. An initial set of data tags is developed that characterize text data in a text database. Higher order entities are determined which are characteristic of patterns in the data tags. Then the text data is automatically tagged based on the higher order entities. | 04-04-2013 |
20130254794 | SIMULATION METHOD AND SYSTEM - A simulation method and system. A computing system receives a first audio and/or video data stream. The first audio and/or video data stream includes data associated with a first person. The computing system monitors the first audio and/or video data stream. The computing system identifies emotional attributes comprised by the first audio and/or video data stream. The computing system generates a second audio and/or video data stream associated with the first audio and/or video data stream. The second audio and/or video data stream includes the data without the emotional attributes. The computing system stores the second audio and/or video data stream. | 09-26-2013 |
20130325471 | METHODS AND APPARATUS FOR PERFORMING TRANSFORMATION TECHNIQUES FOR DATA CLUSTERING AND/OR CLASSIFICATION - Some aspects include transforming data, at least a portion of which has been processed to determine at least one representative vector associated with each of a plurality of classifications associated with the data to obtain a plurality of representative vectors. Techniques comprise determining a first transformation based, at least in part, on the plurality of representative vectors, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters. | 12-05-2013 |
20130325472 | METHODS AND APPARATUS FOR PERFORMING TRANSFORMATION TECHNIQUES FOR DATA CLUSTERING AND/OR CLASSIFICATION - Some aspects include transforming data, at least a portion of which has been processed to determine frequency information associated with features in the data. Techniques include determining a first transformation based, at least in part, on the frequency information, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters. | 12-05-2013 |
20130325759 | METHODS AND APPARATUS FOR PERFORMING TRANSFORMATION TECHNIQUES FOR DATA CLUSTERING AND/OR CLASSIFICATION - Some aspects include transforming data for which at least one constraint has been specified on a portion of the data, the at least one constraint relating to a similarity and/or dissimilarity of at least some of the portion of the data. Techniques comprise determining a first transformation that approximates the at least one constraint using a cosine similarity as a measure of the similarity and/or dissimilarity of the at least a portion of the data, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters. | 12-05-2013 |
20140052435 | LANGUAGE TRANSLATION IN AN ENVIRONMENT ASSOCIATED WITH A VIRTUAL APPLICATION - Methods and apparatus for language translation in a computing environment associated with a virtual application are presented. For example, a method for providing language translation includes determining languages of a user and a correspondent; determining one or more sequences of translators; determining a selected sequence of selected translators from the one or more sequences of the translators; requesting a change in virtual locations, within the computing environment associated with the virtual application, of one or more selected translator virtual representations of the selected translators to a virtual meeting location within the computing environment associated with the virtual application; and changing virtual locations of the one or more selected translator virtual representations to the virtual meeting location. One or more of determining languages, determining one or more sequences, determining a selected sequence, requesting a change in virtual locations, and changing virtual locations occur on a processor device. | 02-20-2014 |
20140136197 | ACCURACY IMPROVEMENT OF SPOKEN QUERIES TRANSCRIPTION USING CO-OCCURRENCE INFORMATION - Techniques disclosed herein include systems and methods for voice-enabled searching. Techniques include a co-occurrence based approach to improve accuracy of the 1-best hypothesis for non-phrase voice queries, as well as for phrased voice queries. A co-occurrence model is used in addition to a statistical natural language model and acoustic model to recognize spoken queries, such as spoken queries for searching a search engine. Given an utterance and an associated list of automated speech recognition n-best hypotheses, the system rescores the different hypotheses using co-occurrence information. For each hypothesis, the system estimates a frequency of co-occurrence within web documents. Combined scores from a speech recognizer and a co-occurrence engine can be combined to select a best hypothesis with a lower word error rate. | 05-15-2014 |
20140156575 | Method and Apparatus of Processing Data Using Deep Belief Networks Employing Low-Rank Matrix Factorization - Deep belief networks are usually associated with a large number of parameters and high computational complexity. The large number of parameters results in a long and computationally consuming training phase. According to at least one example embodiment, low-rank matrix factorization is used to approximate at least a first set of parameters, associated with an output layer, with a second and a third set of parameters. The total number of parameters in the second and third sets of parameters is smaller than the number of sets of parameters in the first set. An architecture of a resulting artificial neural network, when employing low-rank matrix factorization, may be characterized with a low-rank layer, not employing activation function(s), and defined by a relatively small number of nodes and the second set of parameters. By using low rank matrix factorization, training is faster, leading to rapid deployment of the respective system. | 06-05-2014 |