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Research on Voiceprint Recognition Based on Convolutional Neural Network

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DOI: 10.23977/mcee2020.016


Zhang Yipeng, Wang Zihao, Shang Yang

Corresponding Author

Zhang Yipeng


With the advent of the information age, network security has become an issue that cannot be ignored at present, and identity authentication plays an indispensable role in it. Voiceprint recognition has attracted the attention of many scholars with its security and convenience, and has gradually become current research hotspots. Based on this, this paper researches voiceprint recognition based on deep learning convolutional neural network. Firstly introduces the structure of convolutional neural network, deepens its understanding, and then explains the related content of voiceprint recognition, including its definition, connotation, principle and development process. Finally, a voiceprint recognition scheme is designed based on the convolutional neural network. After verification, the scheme has high accuracy and can meet the current actual needs.


Voiceprint recognition, deep learning, neural network, feature extraction

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