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Robust zero-watermarking algorithm based on audio beats

  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Beat can be used to describe the integrity of audio. In order to achieve audio integrity authentication more effectively, a robust zero-watermarking algorithm based on music beat extraction is proposed. Firstly, the beat of music audio is extracted after preprocessing, and then the audio are dynamically divided into segments according to the beat. After discrete wavelet transformation (DWT) and single value decomposition (SVD), the maximum singular values are encoded based on K-means algorithm. Since the maximum singular value is robust to various attacks, the information encoded according to its value is selected as audio feature information. After the original watermark and the feature information is XOR, zero-watermark is generated by voting mechanism. The experimental results show that the proposed algorithm is robust against common attacks. In addition, the algorithm can also resist many synchronization attacks such as TSM and jittering.

源语言英语
主期刊名2021 IEEE 6th International Conference on Intelligent Computing and Signal Processing, ICSP 2021
出版商Institute of Electrical and Electronics Engineers Inc.
308-312
页数5
ISBN(电子版)9780738143705
DOI
出版状态已出版 - 9 4月 2021
活动6th IEEE International Conference on Intelligent Computing and Signal Processing, ICSP 2021 - Xi'an, 中国
期限: 9 4月 202111 4月 2021

出版系列

姓名2021 IEEE 6th International Conference on Intelligent Computing and Signal Processing, ICSP 2021

会议

会议6th IEEE International Conference on Intelligent Computing and Signal Processing, ICSP 2021
国家/地区中国
Xi'an
时期9/04/2111/04/21

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