.png){kind=icon}
返回
A Classification Retrieval Method for Encrypted Speech Based on Deep Neural Network and Deep Hashing
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2020.3036048.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In order to improve the retrieval efficiency and accuracy of the existing encrypted speech retrieval methods, and improve the semantic representation of speech features and classification performance, a classification retrieval method for encrypted speech based on deep neural network (DNN) and deep hashing is proposed. Firstly, the speech files are classified according to the category tags, and the speech files are encrypted by Rossler chaotic map method and uploaded to the cloud encrypted speech library. Secondly, the Log-Mel spectrogram features of the original speech are extracted, and extract deep semantic features and generate classification results through the trained convolutional neural network (CNN) and convolutional recurrent neural network (CRNN). Finally, the semantic feature hash code is obtained through the constructed hash function, combined with the category hash code encoded by One Hot coding to obtain the final deep hashing binary code, and uploaded to the deep hashing index table. When retrieval, the deep hashing binary code of the query speech is obtained, and the two-stage classification retrieval strategy and the normalized Hamming distance algorithm are used to match the semantic feature hash. Experimental results show that the proposed two DNN coding models have excellent feature learning performance, and has better recall rate, precision rate and retrieval efficiency.
Keyword:
Encrypted speech retrieval
Log-Mel spectrogram
deep neural network
deep hashing
speech classification
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Ranking of Sensor Nodes by Optimizing Sensor Data in Energy Harvesting Wireless Sensor Network基于能量收集无线传感器网络的传感器节点排名：通过优化传感器数据实现
PREAI
分享收藏Inter-symbol Interference in High Data Rate Transmit Reference UWB Transceivers高速数据率发射参考UWB收发器中的符号间干扰
PREAI
分享收藏Accurate SIMS quantification of dopants and impurities in thin film amorphous silicon and microcrystalline silicon solar cells薄膜非晶硅和微晶硅太阳能电池中掺杂剂和杂质的SIMS精确定量分析.png)
IF0
PREAI
分享收藏COLLOIDAL PARTICLES EFFICIENTLY SCAVENGE FATTY ACID LANGMUIR-BLODGETT FILMS胶体粒子高效地清除脂肪酸朗格缪尔-布洛杰特膜
PREAI
分享收藏A Novel Integrity Authentication Algorithm Based on Perceptual Speech Hash and Learned DictionariesIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容