A deep learning-based artificial synthetic voiceprint detection system and method

A technology of artificial synthesis and deep learning, applied in speech analysis, instrumentation, computing, etc., can solve problems such as known voiceprint classification, achieve good classification effect, high detection accuracy, and efficient training effect

Active Publication Date: 2021-09-07
JINAN UNIVERSITY
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, artificial voiceprint detection is facing a problem. In the face of more and more synthetic voiceprints, it is more difficult to simply classify known voiceprints. How to detect new synthetic voiceprints that are different from all known synthetic voiceprints. for important issues

Method used

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  • A deep learning-based artificial synthetic voiceprint detection system and method
  • A deep learning-based artificial synthetic voiceprint detection system and method
  • A deep learning-based artificial synthetic voiceprint detection system and method

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Embodiment

[0057] Such as figure 1 As shown, this embodiment provides an artificially synthesized voiceprint detection system based on deep learning, including an autoencoder, a generator, and a discriminator, wherein the autoencoder includes an encoder and a decoder, and the autoencoder uses Adam as an optimization device, set the learning rate to a, and the training times to m;

[0058] Such as figure 2 As shown, in this embodiment, the structure of the encoder includes: the first convolutional layer of the encoder, the batch normalization layer of the encoder, the first maximum pooling layer of the encoder, the second convolutional layer of the encoder, the encoder The second maximum pooling layer and the fully connected layer of the encoder;

[0059] In this embodiment, the convolutional layer is used for feature extraction; the pooling layer compresses the input feature map, on the one hand, the feature map becomes smaller, and the network calculation complexity is simplified; on...

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Abstract

The invention discloses a system and method for artificially synthesized voiceprint detection based on deep learning. The system includes: an autoencoder, a generator, and a discriminator. The autoencoder includes an encoder and a decoder. The encoder includes an encoder. One convolutional layer, batch normalization layer for encoder, first max pooling layer for encoder, second convolutional layer for encoder, second max pooling layer for encoder and fully connected layer for encoder; decoder includes decoder Embedding layer, decoder fully connected layer, decoder batch normalization layer, decoder first deconvolution layer sequence, decoder second deconvolution layer sequence, and decoder convolution layer sequence; generator structure and decryptor The structure is the same; the discriminator includes discriminator embedding layer, discriminator fully connected layer, discriminator first convolution layer sequence, discriminator second convolution layer sequence, multi-classifier and discriminator output layer. The invention achieves higher detection accuracy for artificially synthesized voiceprints, and has better classification effect for samples belonging to known categories.

Description

technical field [0001] The invention relates to the technical field of voiceprint detection, in particular to a system and method for artificially synthesized voiceprint detection based on deep learning. Background technique [0002] In recent years, computer technology has developed rapidly. Among them, the rapid development of the field of artificial intelligence has enabled the realization of artificially synthesized voiceprints. With the maturity of artificially synthesized voiceprint technology, more and more scammers use artificially synthesized technology to use the generated voice for commercial marketing, malicious harassment, and telephone fraud. Therefore, a method that can detect artificially synthesized voiceprints urgently needs to be developed, so as to detect and filter them before criminals use synthetic voiceprints to carry out illegal activities. [0003] At present, artificial voiceprint detection is facing a problem. Facing more and more synthetic voic...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L17/12G10L17/26G10L17/04G06K9/62
CPCG10L17/12G10L17/26G10L17/04G06F18/2431G06F18/214
Inventor 翁健林越郑晓鹏罗晓峰陈俊颖温钊迪罗伟其
Owner JINAN UNIVERSITY
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