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A retrieval method for encrypted speech based on improved power normalized cepstrum coefficients and perceptual hashing

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Abstract

In order to improve the impact of noise on the robustness and discrimination of the speech perceptual hashing scheme, improve retrieval efficiency and retrieval accuracy, and protect the privacy of the cloud speech data, a retrieval method for encrypted speech based on improved power normalized cepstrum coefficients (PNCC) and perceptual hashing was proposed in the paper. Firstly, the original speech was encrypted by Henon chaotic map inter-frame scrambling encryption algorithm before uploading to the encrypted speech library in cloud server. Secondly, the discrete wavelet transform (DWT) and first-order difference coefficient were used to improve the PNCC feature extraction algorithm to extract speech features, and the principal component analysis (PCA) was used to reduce high-dimensional audio features to one dimension to form frame features that can represent the speech segment. Finally, the frame features are constructed as binary hashing sequences using hash functions and upload it to the system hashing index table in the cloud. When the user retrieves, the hashing sequence of query speech is extracted and matched with the encrypted speech features by normalized hamming distance in the cloud system hashing index table to obtain the retrieval result. Experimental results show that compared with the existing methods, the proposed method has good robustness and discrimination, and improves retrieval efficiency and retrieval accuracy, the security of cloud speech data is improved. In addition, the proposed method has good recognition ability under simulated real noise environment.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 61862041, 61363078). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.

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  1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China

    Qiu-yu Zhang, Jian Bai & Fu-jiu Xu

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  1. Qiu-yu Zhang
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Correspondence to Qiu-yu Zhang.

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Zhang, Qy., Bai, J. & Xu, Fj. A retrieval method for encrypted speech based on improved power normalized cepstrum coefficients and perceptual hashing. Multimed Tools Appl 81, 15127–15151 (2022). https://doi.org/10.1007/s11042-022-12560-5

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