recognition accuracy
An Approach to Increase Word Recognition Accuracy in Gujarati Language
... Speech recognition deals with identifying the spoken words and converting it into equivalent text ...speech recognition such as direct voice input in aircraft, data entry, speech-to-text processing, voice ...
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Multimodel Biometrics on Human Distinguishing Proof Utilizing Ongoing Sifting Computation
... the accuracy of using the multimodel system is easily identify the person with matching their ...different accuracy levels by palm print reading using geometrical features, accuracy level using by ...
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Unrestrained Multiple Sensor System for Bed Leaving Detection and Prediction
... The recognition accuracy for seven behavior patterns was ...the recognition accuracies for lon- gitudinal sitting, terminal sitting, and left the bed were ...
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Effect of Training Algorithms on the Performance of ANN for Pattern Recognition of Bivariate Process
... better recognition accuracy for most of the neural network model and has the highest recognition accuracy indicating that the performance of the Levenberg-Marquardt algorithm is better than ...
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Recognition of Devanagari Handwritten Numerals using Gradient Features and SVM
... Techniques used in OCR system follow mainly two steps (a) A feature vector is formed from sample image and (b) The feature vector is classified into classes using a classifier. The right type of feature extraction method ...
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Accuracy of MFCC-Based Speaker Recognition in Series 60 Device
... average recognition rates and three corresponding columns of standard deviations in Table ...for recognition rates in repeated cycles of training and recognition for subsets of 16, 25, and 100 ...
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Geo Centric Language Models for Local Business Voice Search
... high recognition accuracy; and the language models can be pre-compiled, giving fast recognition ...in recognition accu- racy and a 3-fold speedup in recognition time with geo-centric ...
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A NOVEL APPROACH FOR ALPHANUMERIC CHARACTER RECOGNITION USING BACK PROPAGATION ALGORITHM
... Character Recognition for Multiple Domains[3] describes an approach to automated hand-written character recognition that applies domain-specific knowledge such that a partial solution can be refined through ...
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RECOGNITION OF HANDWRITTEN CHARACTER BASED ON WREDF AND NEURAL NETWORK CLASSIFIERS
... Character Recognition System with high recognition accuracy, minimum training and classification ...high recognition accuracy, minimum training and classification ...character ...
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Online Full Text
... Abstract—Identification in Nigeria and indeed many other developing nations is still lagging behind in terms of individuality, as the conventional ways currently in use (driver’s license, international passport, national ...
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RECOGNITION OF CHEISING IYEK/EEYEK-MANIPURI DIGITS USING SUPPORT VECTOR MACHINESKansham Angphun Maring, Dr. Renu Dhir
... handwriting recognition systems began in the 1950s when there were human operators whose job was to convert data from various documents into electronic format, making the process quite long and often affected by ...
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Speech Enhancement Using Neural Network
... This paper describes a neural network speech enhancement system using Multilayer Perceptron (MLP) network and trained using the back propagation algorithm (BPA). Speech enhancement is generally refers to map noisy speech ...
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Image Fusion Techniques for Multispectral Palm Image Enhancement
... palmprint recognition has been proposed where the statistical features are extracted to compare each single ...palmprint recognition has been presented where multiple information related to hand are ...for ...
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Gender and Dialect Bias in YouTube’s Automatic Captions
... speech recognition accuracy have been previously reported, with better recognition rates reported for both men (Ali et ...speech recognition in both English (Wheatley and Picone, 1991) and ...
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Semi-supervised generative adversarial nets with multiple generators for SAR image recognition
... target recognition [1,2]. Traditional recognition methods for SAR images includes the Support Vector Machine (SVM) [3], Fisher Linear Discriminant Analysis (FDA) [4] et ...image recognition. For ...
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An Efficient Isolated Speech Recognition Based on the Adaptive Rate Processing and Analysis
... Abstract –This paper proposes a novel approach, based on the adaptive rate processing and analysis, for the isolated speech recognition. The idea is to smartly combine the event-driven signal acquisition and ...
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Electromyographic analysis for silent speech detection
... speech recognition system, called MUTE (Mouthed-speech Understanding and Transcription Engine), was ...continuous recognition tasks, for practical military communication ...speech recognition system, ...
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FACE DETECTION AND IDENTIFICATION USING SVM
... Face Recognition (or Identification) is another thing, though of course ...face recognition system the input image will be compared with ALL the classes and then a decision will be made so as to identify to ...
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Effect of the Classifier Training Set Size on Accuracy of Pattern Recognition
... and accuracy of neural handwritten ...and accuracy of the algorithm, as well as, compares the performed experimental results of the classifiers with each other and with related works in the ...
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Robust Video based Face Recognition
... face recognition has become an active research area in recent ...face recognition in camera networks is ...multi-view recognition that is insensitive to pose variations is proposed in this ...Face ...
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