81results about How to "Overcome inaccurate recognition" patented technology

A location system is disclosed for commercial wireless telecommunication infrastructures. The system is an end-to-end solution having one or more location centers for outputting requested locations of commercially available handsets or mobile stations (MS) based on, e.g., CDMA, AMPS, NAMPS or TDMA communication standards, for processing both local MS location requests and more global MS location requests via, e.g., Internet communication between a distributed network of location centers. The system uses a plurality of MS locating technologies including those based on: (1) two-way TOA and TDOA; (2) pattern recognition; (3) distributed antenna provisioning; and (4) supplemental information from various types of very low cost non-infrastructure base stations for communicating via a typical commercial wireless base station infrastructure or a public telephone switching network. Accordingly, the traditional MS location difficulties, such as multipath, poor location accuracy and poor coverage are alleviated via such technologies in combination with strategies for: (a) automatically adapting and calibrating system performance according to environmental and geographical changes; (b) automatically capturing location signal data for continual enhancement of a self-maintaining historical data base retaining predictive location signal data; (c) evaluating MS locations according to both heuristics and constraints related to, e.g., terrain, MS velocity and MS path extrapolation from tracking and (d) adjusting likely MS locations adaptively and statistically so that the system becomes progressively more comprehensive and accurate. Further, the system can be modularly configured for use in location signaling environments ranging from urban, dense urban, suburban, rural, mountain to low traffic or isolated roadways. Accordingly, the system is useful for 911 emergency calls, tracking, routing, people and animal location including applications for confinement to and exclusion from certain areas.

A speech recognition method and system for use in a vehicle navigation system utilize grammar weighted based upon geographical information regarding the locations corresponding to the tokens in the grammars and / or the location of the vehicle for which the vehicle navigation system is used, in order to enhance the performance of speech recognition. The geographical information includes the distances between the vehicle location and the locations corresponding to the tokens, as well as the size, population, and popularity of the locations corresponding to the tokens.

A speech recognition system recognizes an input speech signal by using a first speech recognizer and a second speech recognizer each coupled to a decision module. Each of the first and second speech recognizers outputs first and second recognized speech texts and first and second associated confidence scores, respectively, and the decision module selects either the first or the second speech text depending upon which of the first or second confidence score is higher. The decision module may also adjust the first and second confidence scores to generate first and second adjusted confidence scores, respectively, and select either the first or second speech text depending upon which of the first or second adjusted confidence scores is higher. The first and second confidence scores may be adjusted based upon the location of a speaker, the identity or accent of the speaker, the context of the speech, and the like.

A speech recognition method and system for use in a vehicle navigation system utilize grammar weighted based upon geographical information regarding the locations corresponding to the tokens in the grammars and / or the location of the vehicle for which the vehicle navigation system is used, in order to enhance the performance of speech recognition. The geographical information includes the distances between the vehicle location and the locations corresponding to the tokens, as well as the size, population, and popularity of the locations corresponding to the tokens.

An apparatus for providing flexible text based language identification includes an alphabet scoring element, an n-gram frequency element and a processing element. The alphabet scoring element may be configured to receive an entry in a computer readable text format and to calculate an alphabet score of the entry for each of a plurality of languages. The n-gram frequency element may be configured to calculate an n-gram frequency score of the entry for each of the plurality of languages. The processing element may be in communication with the n-gram frequency element and the alphabet scoring element. The processing element may also be configured to determine a language associated with the entry based on a combination of the alphabet score and the n-gram frequency score.

It is a robotics visual and auditory system provided with an auditory module (20), a face module (30), a stereo module (37), a motor control module (40), and an association module (50) to control these respective modules. The auditory module (20) collects sub-bands having interaural phase difference (IPD) or interaural intensity difference (IID) within a predetermined range by an active direction pass filter (23a) having a pass range which, according to auditory characteristics, becomes minimum in the frontal direction, and larger as the angle becomes wider to the left and right, based on an accurate sound source directional information from the association module (50), and conducts sound source separation by restructuring a wave shape of a sound source, conducts speech recognition of separated sound signals from respective sound sources using a plurality of acoustic models (27d), integrates speech recognition results from each acoustic model by a selector, and judges the most reliable speech recognition result among the speech recognition results.

A biometric data card includes an image sensor for capturing an image of a biometric feature of a user of the biometric data card and producing first image data representing the image. The biometric data card compares the first image data to second image data stored within the biometric data card to authenticate the user. The biometric data card is usable with a terminal including a slot for receiving the biometric data card. The terminal can further include an optical element optically coupled to direct the image onto the image sensor of the biometric data card.

A method for processing digitized speech signals by analyzing redundant features to provide more robust voice recognition. A primary transformation is applied to a source speech signal to extract primary features therefrom. Each of at least one secondary transformation is applied to the source speech signal or extracted primary features to yield at least one set of secondary features statistically dependant on the primary features. At least one predetermined function is then applied to combine the primary features with the secondary features. A recognition answer is generated by pattern matching this combination against predetermined voice recognition templates.

A multiple pass speech recognition method includes a first pass and a second pass. The first pass recognizes an input speech signal to generate a first pass result. The second pass generates a first grammar having a portion set to match a first part of the input speech signal, based upon the context of the first pass result, and generate a second pass result. The method may further include a third pass grammar limiting the second part of the input speech signal to the second pass result. The third pass grammar includes a model corresponding to the first part of the input speech signal and varying within the second pass result. The third pass compares the first part of the input speech signal to the model while limiting the second part of the input speech signal to the second pass result.

Audio eyewear includes a front frame and at least one side frame member secured to the front frame for engaging a user's ear. The side frame members have speakers therein that are oriented to direct an audio port of the speaker face downwardly at an angle away from at least one side frame member, thereby directing sound downwardly and rearwardly into the users ear generally along the vertical plane. Embodiments of the invention include microphones for use in, for example, noise cancellation.

An eyewear sound induction ear speaker device includes an eyewear frame, at least one speaker including an audio channel integrated with the eyewear frame and an acoustic duct coupled to the speaker and arranged to channel sound emitted by the speaker to an ear of the user wearing the eyewear frame. A method of providing sound for eyewear includes receiving an audio signal at a speaker integrated with an eyewear frame, inducing the speaker to produce an acoustic sound, and channeling the sound through an acoustic duct to be presented to a user wearing the eyewear frame. The eyewear can include microphones and at least one of a receiver and a transmitter that are integral to the eyewear frame and electronically linked to the at least one speaker. The microphones can be employed in noise cancellation.

The device includes:an input unit (4) for receiving image data obtained by capturing images of an object by imaging units (C1 to C3); andan arithmetic unit (1) that performs:1) finding a three-dimensional reconstruction point set that contain three-dimensional position information of segments obtained by dividing a boundary of the object in the image data, and a feature set that contain three-dimensional information regarding vertices of the segments, for each of multiple pairs of two different images;2) calculating a total three-dimensional reconstruction point set and a total feature set by totaling the three-dimensional reconstruction point sets and the feature sets of the multiple pairs; and3) matching a model feature set regarding model data of the object with the total feature set, thereby determining, among the total three-dimensional reconstruction point set, points corresponding to model points of the object.

The present invention relates to the technology of recognizing and reading each game chip although game chips are stacked. The present invention is a game chip storing data readable by a reader / writer having an antenna which emits an electromagnetic wave and available in a stack of game chips, and includes: an IC device for communicating data at a request from the reader / writer, an antenna coil which is connected to the IC device, gets into electromagnetic coupling with an antenna of the reader / writer, can provide electric power to the IC device, is configured to enter a resonant state through an electromagnetic wave, and can transfer data to the reader / writer by load modulation, and a booster coil for configuring a resonant circuit by electromagnetic coupling through an electromagnetic wave from the reader / writer.

A method for building a language model, a speech recognition method and an electronic apparatus are provided. The speech recognition method includes the following steps. Phonetic transcriptions of a speech signal are obtained from an acoustic model. Phonetic spellings matching the phonetic transcriptions are obtained according to the phonetic transcriptions and a syllable acoustic lexicon. According to the phonetic spellings, a plurality of text sequences and a plurality of text sequence probabilities are obtained from a language model. Each phonetic spelling is matched to a candidate sentence table; a word probability of each phonetic spelling matching a word in a sentence of the sentence table are obtained; and the word probabilities of the phonetic spellings are calculated so as to obtain the text sequence probabilities. The text sequence corresponding to a largest one of the sequence probabilities is selected as a recognition result of the speech signal.

An apparatus for providing flexible text based language identification includes an alphabet scoring element, an n-gram frequency element and a processing element. The alphabet scoring element may be configured to receive an entry in a computer readable text format and to calculate an alphabet score of the entry for each of a plurality of languages. The n-gram frequency element may be configured to calculate an n-gram frequency score of the entry for each of the plurality of languages. The processing element may be in communication with the n-gram frequency element and the alphabet scoring element. The processing element may also be configured to determine a language associated with the entry based on a combination of the alphabet score and the n-gram frequency score.

An apparatus and method for recognizing presence of an object is provided, the apparatus and method are mounted on or implemented a vehicle. In the apparatus and method, by scanning a beam-shaped electromagnetic wave, data showing reflection intensities of reflected waves and distances between the vehicle and objects outside the vehicle are obtained. Based on the detected data, characteristics presented by frequency distributions of the distances and intensity frequency distributions of the refection intensities obtained in multiple rows in a field of view in the height direction of the vehicle. The characteristics depend on an angle of the electromagnetic wave to a road on which the vehicle travels. It is determined that the characteristics are obtained from the road when the characteristics meet predetermined requirements.

A detection element (1A) having a detection electrode (11A) connected to a surface shape detection unit (2) and a detection electrode (12A) connected to a common potential, and a detection element (1B) having a detection electrode (11B) connected to the surface shape detection unit (2) and a detection electrode (12B) connected to a biometric recognition unit (3) are arranged. The surface shape detection unit (2) outputs a signal representing the three-dimensional pattern of the surface shape corresponding to the contact portion to each detection element on the basis of individual capacitances obtained from the detection elements (1A, 1B). The biometric recognition unit (3) determines whether an object (9) is a living body, on the basis of a signal corresponding to the impedance of the object (9) connected between the detection electrode (12B) of the detection element (1B) and the detection electrode (12A) of the detection element (1A).

A speech recognition apparatus predicts, based on the occurrence cycle and duration time of impulse noise that occurs periodically, a segment in which impulse noise occurs, and executes speech recognition processing based on the feature components of the remaining frames excluding a feature component of a frame corresponding to the predicted segment, or the feature components extracted from frames created from sound data excluding a part corresponding to the predicted segment.

The present invention provides a novel system and method for identifying individuals and for face recognition utilizing facial features for face identification. The system and method of the invention comprise creating facial features or face patterns called face pattern words and face pattern bytes for face identification. The invention also provides for pattern recognitions for identification other than face recognition. The invention further provides a means for identifying individuals based on visible and / or thermal images of those individuals by utilizing computer software implemented by instructions on a computer or computer system and a computer readable medium containing instructions on a computer system for face recognition and identification.

A multiple pass speech recognition method includes a first pass and a second pass. The first pass recognizes an input speech signal to generate a first pass result. The second pass generates a first grammar having a portion set to match a first part of the input speech signal, based upon the context of the first pass result, and generate a second pass result. The method may further include a third pass grammar limiting the second part of the input speech signal to the second pass result. The third pass grammar includes a model corresponding to the first part of the input speech signal and varying within the second pass result. The third pass compares the first part of the input speech signal to the model while limiting the second part of the input speech signal to the second pass result.

A language model learning system for learning a language model on an identifiable basis relating to a word error rate used in speech recognition. The language model learning system (10) includes a recognizing device (101) for recognizing an input speech by using a sound model and a language model and outputting the recognized word sequence as the recognition result, a reliability degree computing device (103) for computing the degree of reliability of the word sequence, and a language model parameter updating device (104) for updating the parameters of the language model by using the degree of reliability. The language model parameter updating device updates the parameters of the language model to heighten the degree of reliability of the word sequence the computed degree of reliability of which is low when the recognizing device recognizes by using the updated language model and the reliability degree computing device computes the degree of reliability.

Provided are a method of generating a low-capacity model capable of identifying an object with high accuracy, and creating an image database using the model, a processing program for executing the method, and a processing apparatus that executes the process. The method for compiling an image database that is used for a three-dimensional object recognition includes a steps of extracting vectors as local descriptors from a plurality of images each image showing a three-dimensional object as seen from different viewpoints, a model creating step of evaluating the degree of contribution of each local descriptor to identification of the three-dimensional object, and creating a three-dimensional object model systematized to ensure approximate nearest neighbor search using the individual vectors which satisfy criteria, and a registration step of adding an object identifier to the created object model and registering the object model into an image database. In the model creating step, the local descriptor to be used in the model is selected based on the contributions of the individual vectors which are evaluated in such a way that when a vector extracted from one image of one three-dimensional object is an approximate nearest neighbor to another vector relating to an image of the three-dimensional object seen from a different viewpoint, the vector has a positive contribution, whereas when the vector is an approximate nearest neighbor to another vector relating to a different three-dimensional object, the vector has a negative contribution. The processing program is designed to execute the method, and the processing apparatus executes the process.

An electronic ink object is preprocessed for improving handwriting recognition results. An electronic ink object, possibly having multiple lines of non-horizontal ink, is preprocessed by segmenting or separating the electronic ink object into one or more lines, computing a writing angle of each line, and rotating each line so that it is horizontal.

A character recognition device capable of performing accurate character recognition even when positions of characters change or adjacent characters contact or overlap each other. The device includes a character recognition image data creating unit for extracting character string image data from image data generated by using an imaging modality and repeatedly shifting the character string image in a character string direction one pixel by one pixel to create plural kinds of character string image data; and a character recognition processing unit for separating character images from each character string image to obtain character pattern data representing the separated character images, performing character recognition by using the obtained character pattern data, and calculating certainty factors based on an agreement rate of recognition results to determine a recognition result character string based on the certainty factors with respect to the plural kinds of character string image data.

The present invention provides a device and a method for determining whether or not a component holder is good, which enable detecting component holders that are to affect correct component recognition and further enable preventing interferences between constituent devices, a component mounting apparatus with the determining device, and a component mounting method. The determining device has an illuminating device, a CCD camera and a controller to determine whether or not a suction nozzle is good based on luminance at a component hold face of the suction nozzle. The suction nozzle having light reflectance of the component hold face increased to a level whereat a correct recognition of an electronic component held by the suction nozzle is affected, can be detected accordingly. An interference preventing device is also provided, so that interference between the CCD camera and the suction nozzle can be prevented.

A titanium dioxide composite having a molecular recognition capacity is obtained by modifying the surface of a fine titanium dioxide particle with a hydrophilic polymer in such a manner that titanium dioxide is bonded via an ester bond to a carboxyl group of the hydrophilic polymer and immobilizing a molecule having an ability to specifically bind to a target molecule to the carboxyl residue of the hydrophilic polymer. Due to the molecule distinguishability, this titanium dioxide complex can bind specifically to an endocrine disrupting chemical, a pathogenic factor, a cancer cell and the like and decompose the same by a photocatalytic function.

A character input device for inputting a character by extracting and recognizing a character from an image of a document photographed by a photographing device includes the photographing device. The device stores a recognition result of the extracted and recognized character and reliability indicative of sureness of recognition. Character recognition results of images obtained by repeatedly photographing a whole or part of the document are compared in order to input the character based on a character recognition result whose reliability is highest. A character input method includes adding reliability indicative of sureness of recognition to a recognition result of the character, comparing character recognition results of images obtained by repeatedly photographing the whole or part of the document, and selecting a character recognition result whose reliability is highest. A computer-readable medium encoded with a character input program for inputting a character by extracting and recognizing a character is also disclosed.

A space recognition system obtains available RSSI (Received Signal Strength Indicator) information for a plurality of fixing devices in the vicinity of a user device in the wireless sensor network environment, collects environment information in a space where the user device is located, and collects environment information in a plurality of spaces in which the fixing devices are respectively located. The system combines the RSSI information and the environment information and performs a recognition function on the combined environment information to recognize the space in which a user having the user device is located.

A system and process for recognizing an object in an input image involving first generating training images depicting the object. A set of prototype edge features is created that collectively represent the edge pixel patterns encountered within a sub-window centered on each pixel depicting an edge of the object in the training images. Next, a Hough kernel is defined for each prototype edge feature in the form of a set of offset vectors representing the distance and direction, from each edge pixel having an associated sub-window exhibiting an edge pixel pattern best represented by the prototype edge feature, to a prescribed reference point on a surface of the object. The offset vectors are represented as originating at a central point of the kernel. For each edge pixel in the input image, the prototype edge feature which best represents the edge pixel pattern exhibited within the sub-window centered on the edge pixel is identified. Then, for each input image pixel location, the number of offset vectors terminating at that location from Hough kernels centered on each edge pixel location of the input image is identified. The Hough kernel centered on each pixel location is the Hough kernel associated with the prototype edge feature best representing the edge pixel pattern exhibited within a sub-window centered on that input image edge pixel location. The object is declared to be present in the input image if any of the input image pixel locations have a quantity of offset vectors terminating thereat that equals or exceeds a detection threshold.