Research on Optimization of Voiceprint Recognition System Based on Deep Learning
This paper focuses on the optimization method of voiceprint recognition system based on deep learning,and focuses on the application of Rerrent Neural Network(RNN)model in voiceprint recognition.Firstly,the basic architecture of voiceprint recognition system based on deep learning is introduced.Secondly,the stacked RNN model is introduced as an optimization method.Finally,experiments are carried out on the platform of MATLAB using VoxCeleb data set.The experimental results show that,compared with the standard RNN model,the stacking RNN model has significantly improved the accuracy,precision,recall and F1 value,which verifies the effectiveness and superiority of this method in voiceprint recognition.
deep learningvoiceprint recognitionRecurrent Neural Network(RNN)stacking optimization
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