[PDF] Top 20 Modeling of Speech Recognition Using Artificial Neural Network

... Automatic speech recognition has attained a lot of significance as it can act as easy communication link between machines and ...the speech and classification of speech have been ...neutral ... See full document

... automatic speech recognition is the case of mismatch between training and test ...improving recognition robustness seek to eliminate or reduce the mismatch, ...the speech by adapting the ... See full document

... exemplar-based speech recognition (Bahaa- dini et al., 2014); where using the link to the statistical speech recognition for- malism, new derivation of super/sub-phone posterior ... See full document

... with modeling and simulation of LDO fired rotary furnace using feed forward modeling method of artificial neural network ...forward modeling method of artificial ... See full document

... the network are the location, month, mean pressure, mean temperature, mean vapor pressure, mean relative humidity, mean wind speed and mean duration of ...energy modeling techniques were employed for ... See full document

... of neural networks is an extremely interdisciplinary field such as science, engineering, automotive, aerospace, banking, medical, business, transportation, defense, industrial, telecommunications, insurance, and ... See full document

... IJEDRCP1404001 International Journal of Engineering Development and Research (www.ijedr.org) 7 About Authors Debajyoti Mohanty obtains Bachelor of Technology in Ceramic Engineering (First Class) from National Institute ... See full document

... An artificial neural network is one of the multivariate methods that model the interaction of the parameters simultaneously during the performance by using universal mathematical learning ... See full document

... and neural models to estimate traffic noise in urban condition in an Italian ...a neural network scheme as a substitute for the linear regression of earlier models, and comparing the results with ... See full document

... from the ANN analysis. The permeate flux and rejection for reverse osmosis of ethanol and acetic acid and ultrafiltration of bleach plant effluent were predicted by ANNs [23]. ANNs predictions were compared with results ... See full document

... by using multiple linear regression (MLR) and artificial neural Networks ...by using 1992 - 2014 ...perceptron neural network has been ... See full document

... （1. Department of Agricultural Machinery, University of Tehran, Karaj, Iran ； 2 ． Mechanical Engineering of Biosystems Department, Ilam University, Ilam, Iran ； 3 ． Department of Biosystems Engineering, Shahrekord ... See full document

... Automatic Speech recognition, artificial neural network, deep learning, LPC, ...INTRODUCTION SPEECH is the easiest and powerful way of communication among ...through ... See full document

... DNNs are becoming popular in ASRs. They have been shown to generalize much better than traditional models. The use of context windows to increase the input time-span plays an important role for them to outperform the ... See full document

... OF NEURAL NETWORK In general neural network are simply mathematical techniques designed to accomplish a variety of ...task. Neural networks can be configured in various arrangements to ... See full document

... ONCLUSIONS Speech is a prominent and primary mode of communication among humans and most natural way to efficiently communicate between ...humans. Speech Recognition (SR) using Neural ... See full document

... 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

... Modified alphabet encoder 15x1 Modified MLFF network: Sets of 20x26 networks Training: BP algorithm Untrained Samples: 76.6127 % Trained Samples: 91.6127 % Kirsch Edge Detection 256x1 Im[r] ... See full document

... of speech, the trajectory of speech has been considered ...considering speech where the fundamental unit is a segment, which contrasts with the more conventional unit of a point or ... See full document

... novel neural-network based representation learning approaches were ...deep neural network to esti- mate subglottal features from speech ... See full document