[PDF] Top 20 Automatic Spoken Digit Recognition Using Artificial Neural Network

Automatic Spoken Digit Recognition Using Artificial Neural Network

... Recording and pre-processing of data is the second phase of our work. For the recording of the numerals from zero to nine by different persons were done by a headphone connected to our working system. We had recorded the ... See full document

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Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers

... of Artificial Neural Networks (ANNs) but here it is fully connected and connects every neuron from the previous layer to the next ...the network by making it more robust. This causes the ... See full document

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Modeling of Speech Recognition Using Artificial Neural Network

... Abstract: Automatic speech recognition has attained a lot of significance as it can act as easy communication link between machines and ...neutral network and the way it can be used for ... See full document

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Assamese Digit Recognition with Feed Forward Neural Network

... as neural networks classifier, tree based classifier, Hidden Markova Model (HMM) based classifier ...etc. Artificial neural networks can handle non-convex ...forward neural network that ... See full document

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STUDY OF PERSONALITY PREDICTION BASED ON HANDWRITING AND SIGNATURE RECOGNITION USING MULTIPLE ARTIFICIAL NEURAL NETWORK AND MULTI-STRUCTURE ALGORITHM

... S. Prasad, V.K. Singh, A. Sapre[2] proposes a Handwriting Analysis based on Segmentation Method for Prediction of Human Personality using Support Vector Machine to predict the personal behavior of an individual ... See full document

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An analytical study of information extraction from unstructured and multidimensional big data

... ANN: artificial neural network; ASR: automatic speech recognition; AVS: automatic video summarization; BFM: Bayesian fusion model; CNN: convolutional neural ... See full document

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Automatic Object Recognition from Satellite Images using Artificial Neural Network

... Figure 11: Waterbody Extraction Output 2 The results of the experiment shows that MLP is a very good algorithm for object recognition. Here it has given good results with accuracy more than 90% by extracting ... See full document

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Tamil Handwritten Character Recognition Using Artificial Neural Network

... uses Artificial Neural Networks (ANN) with Stochastic Gradient Learning Algorithm with Back-Propagation as learning ...methodology. Neural Network Model is a learning model which mimics human ... See full document

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Development Of Handwritten Character Recognition By Using Artificial Neural Network

... Character recognition has been one of the most fascinating and challenging research areas of image processing and pattern recognition in the recent years ...Character recognition can be classified ... See full document

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Recognition of Analog and Digital Modulations Using Artificial Neural Network

... communication network uses generally modulated transmitted ...Modulation recognition is an important technology to provide modulation information of ...modulation recognition (AMR) provide quite a ... See full document

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Driver Emotional Status Recognition Using Artificial Neural Network

... Artificial neural network is one of the fascinating area of study, the proposed architecture is performs better feature extraction than earlier proposed Fuzzy logic and SVM ...by using head, ... See full document

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Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network

... of artificial intelligence in the diagnosis of lung cancer, breast cancer, prostate cancer, and esophageal cancer in image recognition has surpassed that of experienced radiologists ...deep neural ... See full document

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Automatic Number Plate Recognition Using Artificial Neural Network

... plate recognition in complex scenes, particularly for the all-day traffic surveillance ...achieved using mathematical morphology and artificial neural network ... See full document

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Fast Efficient Artificial Neural Network for Handwritten Digit Recognition

... To recognize handwritten digits like humans or near to that is very challenging task. Because of long training time of learning algorithms it is difficult to bring it to commercial application. To bridge this gap ... See full document

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Iris Recognition Using Artificial Neural Network

... In today worlds, the security and identification is becoming very important part of our daily lives. For example in ATM application, authentication in airport and many other. The security method of using password ... See full document

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Speech Recognition using Multiscale Scattering of Audio Signals and Long Short Term Memory of Neural Networks

... speech recognition domain, the spoken digit’s ...The recognition is done with the help of a technique called wavelet scattering that initially extracts useful information from the signals and sends ... See full document

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Discrete Wavelet Transforms and Artificial Neural Networks for Recognition of Isolated Spoken Words

... Speech recognition is a fascinating application of Digital Signal Processing and has many real-world ...speech recognition system is developed for isolated spoken words using Discrete Wavelet ... See full document

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NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS

... pattern recognition, identification, classification, speech, vision and control ...Today neural networks can be trained to solve problems that are difficult for conventional computers or human ... See full document

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Pattern recognition for manufacturing process variation using ensembled artificial neural network

... (Sharkey, 1999). This approach is now formally known as an artificial neural network ensemble. An ANN ensemble is a finite number of ANNs that are trained for the identical purpose whose predictions ... See full document

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EVALUATION OF INTRUSION DETECTION TECHNIQUES IN MOBILE AD HOC NETWORKS

... Sphinx recognition system is part of the CMU Sphinx, an open source technology that provides a set of speech recognizers and tools that allow the development of speech recognition system ... See full document

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