An Encrypted Speech Retrieval Method Based on Deep Perceptual Hashing and CNN-BiLSTM

An Encrypted Speech Retrieval Method Based on Deep Perceptual Hashing and CNN-BiLSTM

Since convolutional neural network (CNN) can only extract local features, and long short-term memory (LSTM) neural network model has a large number of learning calculations, a long processing time and an obvious degree of information loss as the length of speech increases. Utilizing the characterist...

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Bibliographic Details
Main Authors: Qiuyu Zhang, Yuzhou Li, Yingjie Hu, Xuejiao Zhao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Encrypted speech retrieval
CNN-BiLSTM
deep perceptual hashing
speech feature extraction
4D hyperchaotic system
Online Access:https://ieeexplore.ieee.org/document/9165111/

Internet

https://ieeexplore.ieee.org/document/9165111/

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