Under the condition of low resource,little labeled training data is available and the performance of speech recognition system is not ideal. To solve this problem. First,this paper investigated long short term memory recurrent neural network( LSTM RNN) for acoustic modeling. It was a powerful tool to model long time series and could make full use of the context information. Linear projection layer reduced the number of model parameters. Then,it explored speaker modeling methods in the feature space,and extr...
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