[PDF] Top 20 Speech Recognition using the Epochwise Back Propagation through Time Algorithm

Speech Recognition using the Epochwise Back Propagation through Time Algorithm

... The experiment conducted on the audio database of English alphabets. Matlab R2010a (Math works) in Windows 7 was used to implement the proposed algorithm. The input signal is used to calculate the epoch values and ... See full document

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HAND WRITING RECOGNITION USING HYBRID PARTICLE SWARM OPTIMIZATION & BACK PROPAGATION ALGORITHM

... Artificial Neural Network (ANN) has been around since the late 1950's. But it was not until the mid-1980 that they became sophisticated enough for applications. Today, ANN [3] is applied to a lot of real- world problems. ... See full document

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MATLAB Based Back-Propagation Neural Network for Automatic Speech Recognition

... term back propagation network is used to describe feed-forward neural networks trained using the back propagation learning ...The back propagation algorithm is the ... See full document

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Optimized Face Recognition Technique based on PCA and RBF Neural Network

... training time for both the techniques, neural network using Back Propagation algorithm and the proposed approach using optimized RBF neural network with gradient descent ... See full document

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Evaluation of Phonetic System for Speech Recognition on Smartphone

... of speech recognition by phonetic system, back propagation Neural Network, Hidden Markov Model, Support Vector Machine and Gaussian Mixture Model-based techniques using android ... See full document

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Robot Arm Performing Writing through Speech Recognition Using Dynamic Time Warping Algorithm

... This paper aims to develop a writing robot by recognizing the speech signal from the user. The robot arm constructed mainly for the disabled people who can’t perform writing on their own. Here, dynamic time ... See full document

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An Approach to Handwriting Recognition using Back Propagation Neural Network

... the Back-Propagation Network, characters drawn with the help of a stylus can thus be ...results using them are given. The results of the shown back-propagation approach are acceptable ... See full document

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Speech Emotion Recognition using CART algorithm

... of speech emotion recognition. It provides better rate of recognition in −both speech and emotion ...samples time domain into frequency domain ...by using triangular band pass ... See full document

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Recognition of Text CAPTCHA by using Back Propagation Algorithm of Artificial Neural network

... them using the model of Back Propagation of Artificial Neural Networks ...minimum time to train the network and minimum number of iteration to train the ... See full document

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Face Recognition Using Eigen faces By ANN with Resilient Back propagation Algorithm

... Face recognition has received substantial attention from researches in biometrics, pattern recognition field and computer vision ...Face recognition using Eigen faces has been shown to be ... See full document

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Assessment of Accuracy Enhancement of Back Propagation Algorithm by Training the Model using Deep Learning

... used at the end of linear regression to determine the probability of an output to fall in each of the applicable classes. Deep belief nets with stacked RBMs' have been used for many applications such as speech and ... See full document

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Title: Back-Propagation Neural Network for Speech Recognition- A Survey

... trained using training samples for which inputs as well as desired outputs are ...sum through its activation function before presenting the result to the output ...a Back Propagation ... See full document

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A NOVEL APPROACH FOR ALPHANUMERIC CHARACTER RECOGNITION USING BACK PROPAGATION ALGORITHM

... of back-propagation learning is that it is a time consuming ...this algorithm have been proposed with some more parameters (like momentum and jitter) to improve the learning ...by using ... See full document

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Analyzing and Implementing a Mobile Reminder System for Alzheimer’s Patients

... This study focused on creating an application for smart phones with android system. The main aim of the proposed system is to help an important category of the society which is the Alzheimer’s patients, this system gives ... See full document

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Bat BP: a new bat based back propagation algorithm for efficient data classification

... training time of the ...colony back-propagation (ABC- BP) algorithm [11-12], genetic algorithm (GA) [13], hybrid PSO-BP [14], and evolutionary artificial neural networks ... See full document

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Optical Character Recognition using Neural Network

... text recognition has been attempted by many different ...for recognition of standard fonts, but gives poor performance with hand written ...And recognition is done by finding distance of feature ... See full document

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Power Load Forecasting using Back Propagation Algorithm

... These networks have processing elements (PEs) which are interpreted using differential equations [15, 16]. The PEs are interrelated and connected layer by layer and also intra- connected. Each PE computes the ... See full document

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A novel method for Handwritten Digit Recognition with Neural Networks

... Using Neural Network system, back-propagation learning, to recognize handwritten digits was very successful. An image, which contained 100 samples of each number, was trained and tested. The accuracy ... See full document

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Analysis Of Line To Ground Fault In Transformer By Elman’S Network Using Gradient Descent Back Propagation Algorithm

... flow back to the source through other paths, including grounded metal piping, structural steel, and the ground ...flowing through alternate paths outside the distribution system ground path will ... See full document

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Prediction of Landslide Displacement using NARX Model

... designed using MATLAB neural network ...LevenbergMarquardt algorithm will have the fastest ...divided using dividerand ...and time delay of 2 timestamps (selected ... See full document

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