[PDF] Top 20 Neural Network on the Performance of Bangla Automatic Speech Recognition

... Table 1 shows the sentence and word accuracies for all data sets using the mixture components one, two, three and four for the investigated methods, where, in data set 1 the sentence accuracy for LF75+HMM and ... See full document

... artificial neural networks have been generally based on rate coding in the earliest stage of computational neuroscience ...of neural network performance and the main objective becomes how to ... See full document

... RNN-based neural net- works (vanilla RNN and RNN with an LSTM cell) is their performance results on the type of datasets being used in this ...feed-forward neural network to allow it to model ... See full document

... ear recognition method, which measures the similarity between the input ear image and the ear images of known individuals in a ...The performance of this method is optimized using Particle Swarm Optimizer ... See full document

... Speech Recognition has been practiced widely with variety of ...the performance of HMM was only good for limited vocabulary within a limited ...of Neural Networks [2][3], speech ... See full document

... One key issue is the heavy computational cost for the RNNLM. As the output layer contains one unit for each word in the vocabulary, it is infeasible to train the model for large vocabulary with hundreds of thousands of ... See full document

... propagation neural networks (FFBPNN) for automatic speech recognition of Arabic letters with their four vowels (Fatha, dhamma, Kasra, ...the recognition of continuous ...The ... See full document

... language recognition and speaker verification process it can be used. Speech Recognition can be applied to automation of houses, offices and telecommunication ...paper Speech ... See full document

... networks, Neural Network toolbox of MATLABR2015a was used. The performance was evaluated by using mean square error as the ...its performance does not diminish as rapidly as compared to ... See full document

... Convolutional Neural Network (CNN) is found efficient for Handwritten Bangla Character Recognition now a ...competitive performance with the exiting methods on the basis of test set ... See full document

... a speech enhancement filter is placed before the feature extractor, we might anticipate that a linear equalizer would ...The speech enhancement filter can also be positioned after the feature extractor, a ... See full document

... recurrent Neural Network and Connectionist Temporal Classification as the objective function a good Word Error Rate can be ...LSTM network and a CTC as output layer. The network is trained ... See full document

... existing automatic speech recognition and speaker recognition ...for speech recognition with speaker recognition based on Hidden Markov Model for security is a requirement ... See full document

... Neural network is a useful tool for various applications which require extensive ...in neural networks and their ability to classify the data based on features provides a promising platform for ... See full document

... classify speech spurts into slow, medium and fast ...a neural network whose targets are the actual phonemes [4, ...continuous speech with moderate vocabulary ... See full document

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

... Speech recognition is especially useful for people who have difficulty using their hands or having visual impairment wherein speech recognition programs are much beneficial for operating ... See full document

... the automatic software goes beyond explanations and submits an accepta- ble and fluent translation, relying on a minimum of English knowledge on the part of the viewer for his/her understanding of the ... See full document

... from speech signals for further ...of speech are extracted and those features relevant for classification are ...of recognition systems because the recognition accuracy depends on the features ... See full document

... standard neural network has a limited output, that is, each component of the output vector is within a certain range, usually either ( ...output neural network according to the problem ... See full document