A retrieval algorithm for encrypted speech based on convolutional neural network and deep hashing

In this paper, we propose a retrieval algorithm for encrypted speech based on the convolution neural network (CNN) and deep hashing. It is used to overcome the feature extraction defects of the existing content-based encrypted speech retrieval methods, and solve the problem of low retrieval accuracy...

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Vydáno v:	Multimedia tools and applications Ročník 80; číslo 1; s. 1201 - 1221
Hlavní autoři:	Zhang, Qiu-yu, Li, Yu-zhou, Hu, Ying-jie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.01.2021 Springer Nature B.V
Témata:	Algorithms Artificial neural networks Audio data Computer Communication Networks Computer Science Convolution Data Structures and Information Theory Encryption Feature extraction Hash based algorithms Multimedia Information Systems Neural networks Retrieval Special Purpose and Application-Based Systems Speech Training Convolutional neural network (CNN) Batch normalization algorithm Encrypted speech retrieval Deep hashing Speech feature extraction
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
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