14682results about How to "Improve recognition accuracy" patented technology

An iterative process is provided for interacting with a voice information service. Such a service may permit, for example, a user to search one or more databases and may provide one or more search results to the user. Such a service may be suitable, for example, for searching for a desired entity or object within the database(s) using speech as an input and navigational tool. Applications of such a service may include, for instance, speech-enabled searching services such as a directory assistance service or any other service or application involving a search of information. In one example implementation, an automatic speech recognition (ASR) system is provided that performs a speech recognition and database search in an iterative fashion. With each iteration, feedback may be provided to the user presenting potentially relevant results. In one specific ASR system, a user desiring to locate information relating to a particular entity or object provides an utterance to the ASR. Upon receiving the utterance, the ASR determines a recognition set of potentially relevant search results related to the utterance and presents to the user recognition set information in an interface of the ASR. The recognition set information includes, for instance, reference information stored internally at the ASR for a plurality of potentially relevant recognition results. The recognition set information may be used as input to the ASR providing a feedback mechanism. In one example implementation, the recognition set information may be used to determine a restricted grammar for performing a further recognition.

A global speech user interface (GSUI) comprises an input system to receive a user's spoken command, a feedback system along with a set of feedback overlays to give the user information on the progress of his spoken requests, a set of visual cues on the television screen to help the user understand what he can say, a help system, and a model for navigation among applications. The interface is extensible to make it easy to add new applications.

Ink strokes of cursive writing are segmented to make the cursive writing more like print writing, particularly with respect to the number of strokes of a character. A stroke-segmentation module first finds the local extrema points on a stroke of input ink. Then the local extrema points are stepped through, two (or three) at a time. The stroke-segmentation module may compare the three (or four) ink segments that are adjacent to the two (or three) local extrema points to a set of predefined stroke-segmentation patterns to find a closest matching pattern. Strokes are then segmented based on a stroke-segmentation rule that corresponds to the closest matching pattern. Additional stroke segmentation may be performed based on the change of curvature of the segmented ink strokes. Then, a character-recognition module performs character recognition processing by comparing the segmented ink strokes to prototype samples at least some of which have been similarly segmented.

The invention relates to a method and an apparatus for recognising speech, more particularly to a speech recognition system and method utilising a speech recognition dictionary supplemented by a lexicon containing frequently occurring word sequences (orthographies). In typical speech recognition systems, the process of speech recognition consists of scanning the vocabulary database or dictionary by using a fast match algorithm to find the top N candidates that potentially match the input speech. In a second pass the N candidates are re-scored using more precise likelihood computations. The novel method comprises the introduction of a step in the search stage that consists of forcing the insertion in the list of N candidates entries selected from a lexicon containing frequently used orthographies to increase the probability of occurrence of certain text combinations.

A word pattern recognition system improves text input entered via a shorthand-on-keyboard interface. A core lexicon comprises commonly used words in a language; an extended lexicon comprises words not included in the core lexicon. The system only directly outputs words from the core lexicon. Candidate words from the extended lexicon can be outputted and simultaneously admitted to the core lexicon upon user selection. A concatenation module enables a user to input parts of a long word separately. A compound word module combines two common shorter words whose concatenation forms a long word.

A method of receiving input from a user includes providing a surface within reach of a hand of the user. A plurality of locations on the surface that are touched by the user are sensed. An alphanumeric character having a shape most similar to the plurality of touched locations on the surface is determined. The user is audibly or visually informed of the alphanumeric character and/or a word in which the alphanumeric character is included. Feedback is received from the user regarding whether the alphanumeric character and/or word is an alphanumeric character and/or word that the user intended to be determined in the determining step.

A method and apparatus are disclosed for automatically learning and identifying events in image data using hierarchical HMMs to define and detect one or more events. The hierarchical HMMs include multiple paths that encompass variations of the same event. Hierarchical HMMs provide a framework for defining events that may be exhibited in various ways. Each event is modeled in the hierarchical HMM with a set of sequential states that describe the paths in a high-dimensional feature space. These models can then be used to analyze video sequences to segment and recognize each individual event to be recognized. The hierarchical HMM is generated during a training phase, by processing a number of images of the event of interest in various ways, typically observed from multiple viewpoints.

The invention relates to a movement human abnormal behavior identification method based on template matching, which mainly comprises the steps of: video image acquisition and behavior characteristic extraction. The movement human abnormal behavior identification method is a mode identification technology based on statistical learning of samples. The movement of a human is analyzed and comprehended by using a computer vision technology, the behavior identification is directly carried out based on geometric calculation of a movement region and recording and alarming are carried out; the Gaussian filtering denoising and the neighborhood denoising are combined for realizing the denoising, thereby improving the independent analysis property and the intelligent monitoring capacity of an intelligent monitoring system, achieving higher identification accuracy for abnormal behaviors, effectively removing the complex background and the noise of a vision acquired image, and improving the efficiency and the robustness of the detection algorithm. The invention has simple modeling, simple algorithm and accurate detection, can be widely applied to occasions of banks, museums and the like, and is also helpful to improve the safety monitoring level of public occasions.

Calculates a word n-gram probability with high accuracy in a situation where a first corpus), which is a relatively small corpus containing manually segmented word information, and a second corpus, which is a relatively large corpus, are given as a training corpus that is storage containing vast quantities of sample sentences. Vocabulary including contextual information is expanded from words occurring in first corpus of relatively small size to words occurring in second corpus of relatively large size by using a word n-gram probability estimated from an unknown word model and the raw corpus. The first corpus (word-segmented) is used for calculating n-grams and the probability that the word boundary between two adjacent characters will be the boundary of two words (segmentation probability). The second corpus (word-unsegmented), in which probabilistic word boundaries are assigned based on information in the first corpus (word-segmented), is used for calculating a word n-grams.

A method for detecting and representing one or more objects, such as teeth, their preparations and their immediate environment, using a camera. A first recording is made wherein a still image is produced. The still image is blended into a current, mobile search image in at least one sub-area in the second step, so that both images are recognizable. In the third step, the camera is positioned in such a way that the search image overlaps the blended-in still image in at least one sub-area. The second recording process is initiated in a fourth step.

The invention discloses a user online authentication method and system based on living body detection and face recognition. The method includes the user online registration step and the user online authentication step. The user online authentication step comprises the living body detection step, the image processing step, the feature value extraction step, the face comparison step and the result processing step. In the living body detection step, whether an authenticated user is a living body or not is determined and a face picture is acquired. In the image processing step, the collected face picture is processed. In the feature value extraction step, face part features of the processed face picture are extracted. In the face comparison step, extracted feature data of the collected face image are compared with corresponding face data in a user face feature value database, a threshold value is set, and when similarity exceeds the threshold value, the acquired result through matching is output. The user online authentication method and system can avoid authentication cheating through videos including faces, safety of the system is improved, recognition time can be shortened, and recognition accuracy is improved.

The invention provides a barrier identification method and system of a laser radar. The method comprises that S1) original point cloud data, position data and attitude data are fused to obtain fused point cloud data; S2) the fused point cloud data is divided into multiple fused point cloud data segments according to the time sequence, and ICP registering is carried out on point cloud in each fusedpoint cloud data segment to obtain superposed point cloud data; S3) point clouds of each group of superposed point cloud data segment are clustered to obtain candidate barriers, and static information of the candidate barriers is extracted; and S4) according to the static information of the candidate barriers, static and dynamic barriers are identified from the candidate barrier, and dynamic information of the dynamic barrier is extracted. A graph can be made needless of using offline data of the laser radar, the method and system are suitable for detecting barriers in different complex application environments, the identification precision is high, and the speed is high.

The invention discloses a vehicle-mounted child leaving reminding device and a vehicle-mounted child leaving detection method. The device comprises a voice sensor, a touch sensor, a main control module, a voice alarm, a communication module and a data storage module, wherein the voice sensor and the touch sensor are connected with the signal input end of the main control module; the voice alarm and the communication module are connected with the signal output end of the main control module; the data storage module is connected with the main control module; after an automobile is power off andan automobile door is closed through detection, the voice sensor and the touch sensor are started and respectively perform detection in voice and touch modes; when at least one detection result indicates that a child is left in the automobile, the automobile sends alarm voice and sends information to a specified mobile phone; and an initial state is returned when the automobile door is opened through detection. By the vehicle-mounted child leaving reminding device and the vehicle-mounted child leaving detection method, people around the automobile and specific related personnel can be effectively reminded when the child is left in the automobile.