Strengthening speech content authentication against tampering

2021 ◽  
Vol 129 ◽  
pp. 41-57
Author(s):  
Raphaël C.-W. Phan ◽  
Yin-Yin Low ◽  
KokSheik Wong ◽  
Kazuki Minemura
Keyword(s):  
Content Authentication ◽  
Speech Content

Speech Content Authentication Scheme based on High-Capacity Watermark Embedding

2017 ◽  
Vol 9 (2) ◽  
pp. 1-14
Author(s):  
Fang Sun ◽  
Zhenghui Liu ◽  
Chuanda Qi
Keyword(s):  
High Capacity ◽  
Low Frequency ◽  
Authentication Scheme ◽  
Content Authentication ◽  
Embedding Capacity ◽  
Embedding Method ◽  
Frame Number ◽  
Watermark Embedding ◽  
Authentication Schemes ◽  
Speech Content

The existed content authentication schemes based on digital watermark have some shortcomings. In order to solve the problems, a speech content authentication scheme based on high-capacity watermark embedding is proposed, and the high-capacity embedding method is discussed. Firstly, speech signal is framed and segmented, and the samples of each segment are scrambled. Secondly, DCT is performed on the scrambled signal, and low-frequency coefficients are selected as the watermark embedding domain. Lastly, frame number is mapped to a sequence of integers and embedded into the domain based on the embedding method. Theoretical analysis and experimental evaluation results show that the proposed algorithm is inaudible, robust to desynchronous attacks, enhances the embedding capacity, and improves the security of watermark system.

A novel speech content authentication algorithm based on Bessel–Fourier moments

2014 ◽  
Vol 24 ◽  
pp. 197-208 ◽  
Author(s):  
Zhenghui Liu ◽  
Hongxia Wang
Keyword(s):  
Content Authentication ◽  
Speech Content

A speech content authentication algorithm based on a novel watermarking method

2016 ◽  
Vol 76 (13) ◽  
pp. 14799-14814 ◽  
Author(s):  
Juan Wang ◽  
Junjie He
Keyword(s):  
Content Authentication ◽  
Speech Content

Speech Content Authentication Scheme based on High-Capacity Watermark Embedding

2020 ◽  
pp. 400-413
Author(s):  
Fang Sun ◽  
Zhenghui Liu ◽  
Chuanda Qi
Keyword(s):  
Theoretical Analysis ◽  
High Capacity ◽  
Low Frequency ◽  
Digital Watermark ◽  
Authentication Scheme ◽  
Content Authentication ◽  
Embedding Method ◽  
Watermark Embedding ◽  
Authentication Schemes ◽  
Speech Content

The existed content authentication schemes based on digital watermark have some shortcomings. In order to solve the problems, a speech content authentication scheme based on high-capacity watermark embedding is proposed, and the high-capacity embedding method is discussed. Firstly, speech signal is framed and segmented, and the samples of each segment are scrambled. Secondly, DCT is performed on the scrambled signal, and low-frequency coefficients are selected as the watermark embedding domain. Lastly, frame number is mapped to a sequence of integers and embedded into the domain based on the embedding method. Theoretical analysis and experimental evaluation results show that the proposed algorithm is inaudible, robust to desynchronous attacks, enhances the embedding capacity, and improves the security of watermark system.

A Secure Speech Content Authentication Algorithm Based on Discrete Fractional Fourier Transform

2015 ◽  
Vol 7 (3) ◽  
pp. 19-36 ◽  
Author(s):  
Fan Zhang ◽  
Zhenghui Liu ◽  
Hongxia Wang
Keyword(s):  
Fourier Transform ◽  
Theoretical Analysis ◽  
Experimental Evaluation ◽  
Fractional Fourier Transform ◽  
Content Authentication ◽  
Hybrid Domain ◽  
Frame Number ◽  
Discrete Fractional Fourier Transform ◽  
Tamper Location ◽  
Speech Content

Watermark schemes content-based provide one way to solve the veracity and integrity of speech content. Some existed content-based schemes are vulnerable to feature-analysed substitution attack. Aiming to solve the problems, a secure speech content authentication algorithm is proposed, on the basic of the undeterminate angle of discrete fractional fourier transform. In the paper, the definition and calculation of discrete fractional fourier transform are given. And the watermark generation method based on discrete fractional fourier transform is analyzed. Frame number and watermark bits are embedded into hybrid domain of scrambled signals. Compared with the existed watermark schemes, the features for watermark generation and embedding are secret, which improves the security of watermark system. Theoretical analysis and experimental evaluation results show that the proposed algorithm is inaudible, robust to desynchronous attacks and has the excellent ability of tamper detection and tamper location.

A Speech Content Authentication Algorithm Based on Pseudo-Zernike Moments in DCT Domain

2013 ◽  
Vol 5 (3) ◽  
pp. 15-34
Author(s):  
Zhenghui Liu ◽  
Hongxia Wang
Keyword(s):  
Theoretical Analysis ◽  
Low Frequency ◽  
Zernike Moments ◽  
Content Authentication ◽  
Embedding Capacity ◽  
Dct Domain ◽  
Watermark Embedding ◽  
Correlation Degree ◽  
Definition Of ◽  
Speech Content

A speech content authentication algorithm based on pseudo-Zernike moments in DCT domain is proposed in this paper, which is aimed at some shortcomings in some existing digital watermark schemes. The definition of coefficients self-correlation degree is given. Then the frequency domain watermark embedding method based on pseudo-Zernike moments in DCT domain is proposed. Watermark bits are generated by coefficients self-correlation degree and embedded by quantizing the pseudo-Zernike moments of DCT domain low-frequency coefficients. Comparing with the existing audio watermark algorithms based on pseudo-Zernike moments, the algorithm increases the watermarking embedding capacity and improves the efficiency greatly. Theoretical analysis and experimental evaluation results show that the proposed speech content authentication algorithm is effective.

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