26.1.9 Audio Watermarks, Speech Watermarks

Chapter Contents (Back)
Watermark. Audio.

Tio, C.M.M., McLoughlin, I.V., Adi, R.W.,
Perceptual audio data concealment and watermarking scheme using direct frequency domain substitution,
VISP(149), No. 6, December 2002, pp. 335-340.
IEEE Top Reference. 0304
BibRef

Liu, Z.[Zheng], Inoue, A.,
Audio watermarking techniques using sinusoidal patterns based on pseudorandom sequences,
CirSysVideo(13), No. 8, August 2003, pp. 801-812.
IEEE Abstract. 0309
BibRef

Baluja, S.[Shumeet], Covell, M.[Michele],
Waveprint: Efficient wavelet-based audio fingerprinting,
PR(41), No. 11, November 2008, pp. 3467-3480.
Elsevier DOI 0808
Audio retrieval; Applications; Image/video retrieval; Pattern analysis BibRef

Wang, X.Y.[Xiang-Yang], Niu, P.P.[Pan-Pan], Yang, H.Y.[Hong-Ying],
A robust digital audio watermarking based on statistics characteristics,
PR(42), No. 11, November 2009, pp. 3057-3064.
Elsevier DOI 0907
Audio watermarking; Desynchronization attack; Synchronization code; Statistics average value; DWT BibRef

Xiang, Y., Peng, D., Natgunanathan, I., Zhou, W.,
Effective Pseudonoise Sequence and Decoding Function for Imperceptibility and Robustness Enhancement in Time-Spread Echo-Based Audio Watermarking,
MultMed(13), No. 1, 2011, pp. 2-13.
IEEE DOI 1102
BibRef

Kang, X.[Xiangui], Yang, R.[Rui], Huang, J.W.[Ji-Wu],
Geometric Invariant Audio Watermarking Based on an LCM Feature,
MultMed(13), No. 2, 2011, pp. 181-190.
IEEE DOI 1103
BibRef
Earlier: A2, A1, A3:
Robust Audio Watermarking Based on Log-Polar Frequency Index,
DW08(124-138).
Springer DOI 0811
BibRef

Wang, Y.[Yong], Huang, J.W.[Ji-Wu],
Robust AVS Audio Watermarking,
DW09(29-38).
Springer DOI 0908
BibRef

Gupta, S., Cho, S.H.[Seong-Ho], Kuo, C.C.J.,
Current Developments and Future Trends in Audio Authentication,
MultMedMag(19), No. 1, January-March 2012, pp. 50-59.
IEEE DOI 1202
BibRef

Seo, J.S.,
An Asymmetric Matching Method for a Robust Binary Audio Fingerprinting,
SPLetters(21), No. 7, July 2014, pp. 844-847.
IEEE DOI 1405
Data mining BibRef

Seo, J.S.[Jin S.],
A Resilience Mask for Robust Audio Hashing,
IEICE(E100-D), No. 1, January 2017, pp. 57-60.
WWW Link. 1701
BibRef

Seo, J.S.[Jin S.],
A Local Feature Aggregation Method for Music Retrieval,
IEICE(E101-D), No. 1, January 2018, pp. 64-67.
WWW Link. 1801
BibRef

Zhang, Y., Xu, Z.G.[Zheng-Guang], Huang, B.X.[Ben-Xiong],
Channel Capacity Analysis of the Generalized Spread Spectrum Watermarking in Audio Signals,
SPLetters(22), No. 5, May 2015, pp. 519-523.
IEEE DOI 1411
Channel capacity BibRef

Xu, Z.G.[Zheng-Guang], Ao, C.H.[Cheng-Huan], Huang, B.X.[Ben-Xiong],
Channel Capacity Analysis of the Multiple Orthogonal Sequence Spread Spectrum Watermarking in Audio Signals,
SPLetters(23), No. 1, January 2016, pp. 20-24.
IEEE DOI 1601
audio signal processing BibRef

Wang, S.B.[Sheng-Bei], Unoki, M.[Masashi],
Speech Watermarking Method Based on Formant Tuning,
IEICE(E98-D), No. 1, January 2015, pp. 29-37.
WWW Link. 1503
BibRef

Murata, H.[Harumi], Ogihara, A.[Akio], Uesaka, M.[Masaki],
Sound Quality Evaluation for Audio Watermarking Based on Phase Shift Keying Using BCH Code,
IEICE(E98-D), No. 1, January 2015, pp. 89-94.
WWW Link. 1503
BibRef

Unoki, M.[Masashi], Miyauchi, R.[Ryota],
Robust, Blindly-Detectable, and Semi-Reversible Technique of Audio Watermarking Based on Cochlear Delay Characteristics,
IEICE(E98-D), No. 1, January 2015, pp. 38-48.
WWW Link. 1503
BibRef

Khalil, M.[Mohammed], Adib, A.[Abdellah],
Robust audio watermarking based on multi-carrier modulation,
IJCVR(6), No. 1-2, 2016, pp. 180-194.
DOI Link 1601
BibRef

Nishimura, A.[Akira],
Reversible Audio Data Hiding Based on Variable Error-Expansion of Linear Prediction for Segmental Audio and G.711 Speech,
IEICE(E99-D), No. 1, January 2016, pp. 83-91.
WWW Link. 1601
BibRef
Earlier:
Reversible and Robust Audio Watermarking Based on Spread Spectrum and Amplitude Expansion,
IWDW14(215-229).
Springer DOI 1602
BibRef
Earlier:
Reversible and Robust Audio Watermarking Based on Quantization Index Modulation and Amplitude Expansion,
IWDW13(275-287).
Springer DOI 1407
BibRef

Ngo, N.M.[Nhut Minh], Unoki, M.[Masashi],
Method of Audio Watermarking Based on Adaptive Phase Modulation,
IEICE(E99-D), No. 1, January 2016, pp. 92-101.
WWW Link. 1601
BibRef
Earlier:
Watermarking for Digital Audio Based on Adaptive Phase Modulation,
IWDW14(105-119).
Springer DOI 1602
BibRef

Murata, H.[Harumi], Ogihara, A.[Akio], Hayashi, S.[Shigetoshi],
Tolerance Evaluation of Audio Watermarking Method Based on Modification of Sound Pressure Level between Channels,
IEICE(E101-D), No. 1, January 2018, pp. 68-71.
WWW Link. 1801
BibRef

Hwang, M.J., Lee, J., Lee, M., Kang, H.G.,
SVD-Based Adaptive QIM Watermarking on Stereo Audio Signals,
MultMed(20), No. 1, January 2018, pp. 45-54.
IEEE DOI 1801
audio signal processing, audio watermarking, quantisation (signal), singular value decomposition, stereo BibRef

Su, Z., Zhang, G., Yue, F., Chang, L., Jiang, J., Yao, X.,
SNR-Constrained Heuristics for Optimizing the Scaling Parameter of Robust Audio Watermarking,
MultMed(20), No. 10, October 2018, pp. 2631-2644.
IEEE DOI 1810
audio coding, audio watermarking, copyright, optimisation, search problems, stochastic processes, heuristic search BibRef

Matsunaga, Y.[Yuto], Kojima, T.[Tetsuya], Aoki, N.[Naofumi], Dobashi, Y.[Yoshinori], Yamamoto, T.[Tsuyoshi],
Some Evaluations on a Digital Watermarking Technique for Music Data Using Distortion Effect,
IEICE(E102-D), No. 6, June 2019, pp. 1119-1125.
WWW Link. 1906
BibRef

Zhang, Z.Y.[Zhen-Yu], Yi, X.W.[Xiao-Wei], Zhao, X.F.[Xian-Feng],
Improving Audio Steganalysis Using Deep Residual Networks,
IWDW19(57-70).
Springer DOI 2003
BibRef

Chen, K., Zhou, H., Li, W., Yang, K., Zhang, W., Yu, N.,
Derivative-Based Steganographic Distortion and its Non-additive Extensions for Audio,
CirSysVideo(30), No. 7, July 2020, pp. 2027-2032.
IEEE DOI 2007
Distortion, Additives, Security, Media, Predistortion, Art, Feature extraction, Steganography, derivate filter, non-additive, amplitude BibRef

Li, M., Chang, H., Xiang, Y., An, D.,
A Novel Anti-Collusion Audio Fingerprinting Scheme Based on Fourier Coefficients Reversing,
SPLetters(27), 2020, pp. 1794-1798.
IEEE DOI 2011
Fingerprint recognition, Frequency-domain analysis, Fourier transforms, Data security, Media, Resists, Computer security, illegal redistribution BibRef

Zhao, J.[Juan], Zong, T.R.[Tian-Rui], Xiang, Y.[Yong], Gao, L.X.[Long-Xiang], Hua, G.[Guang],
Segmental DCT Coefficient Reversal Based Anti-Collusion Audio Fingerprinting Mechanism,
SPLetters(28), 2021, pp. 1833-1837.
IEEE DOI 2109
Discrete cosine transforms, Synchronization, Junctions, Fingerprint recognition, Degradation, Resists, discrete cosine transform BibRef

Lin, Y.Z.[Yu-Zhen], Wang, R.D.[Rang-Ding], Dong, L.[Li], Yan, D.[Diqun], Wang, J.[Jie],
Tackling the Cover Source Mismatch Problem in Audio Steganalysis With Unsupervised Domain Adaptation,
SPLetters(28), 2021, pp. 1475-1479.
IEEE DOI 2108
Feature extraction, Training, Convolution, Testing, Machine learning, Convolutional neural networks, Training data, Audio steganalysis, unsupervised domain adaption BibRef

Xu, L.T.[Long-Ting], Huang, D.Y.[Dai-Yu], Zaidi, S.F.A.[Syed Faham Ali], Rauf, A.[Abdul], Das, R.K.[Rohan Kumar],
Graph Fourier Transform Based Audio Zero-Watermarking,
SPLetters(28), 2021, pp. 1943-1947.
IEEE DOI 2110
Watermarking, Time-domain analysis, Synchronization, Resists, Fourier transforms, Discrete wavelet transforms, synchronization attacks BibRef

Yang, J.S.[Jin-Shuai], Yang, Z.L.[Zhong-Liang], Zhang, S.[Siyu], Tu, H.Q.[Hao-Qin], Huang, Y.F.[Yong-Feng],
SeSy: Linguistic Steganalysis Framework Integrating Semantic and Syntactic Features,
SPLetters(29), 2022, pp. 31-35.
IEEE DOI 2202
Semantics, Syntactics, Feature extraction, Transformers, Linguistics, Steganography, Correlation, Linguistic steganalysis, graph network BibRef

Xu, Y.M.[Yi-Min], Zhao, T.[Tengyun], Zhong, P.[Ping],
Small-Scale Linguistic Steganalysis for Multi-Concealed Scenarios,
SPLetters(29), 2022, pp. 130-134.
IEEE DOI 2202
Feature extraction, Linguistics, Semantics, Training, Payloads, Steganography, Neural networks, Linguistic steganalysis, feature interaction BibRef

Guo, S.N.[Sheng-Nan], Liu, J.[Jianyi], Yang, Z.L.[Zhong-Liang], You, W.[Weike], Zhang, R.[Ru],
Linguistic Steganalysis Merging Semantic and Statistical Features,
SPLetters(29), 2022, pp. 2128-2132.
IEEE DOI 2211
Feature extraction, Semantics, Linguistics, Steganography, Bit error rate, Transformers, Data mining, Autoencoder, statistical features BibRef

Tian, H.[Hui], Wu, J.[Junyan], Quan, H.Y.[Han-Yu], Chang, C.C.[Chin-Chen],
Detecting Multiple Steganography Methods in Speech Streams Using Multi-Encoder Network,
SPLetters(29), 2022, pp. 2462-2466.
IEEE DOI 2212
Steganography, Speech coding, Feature extraction, Speech processing, Decoding, Convolutional codes, Convolution, neural network BibRef

Xu, Q.[Qiong], Zhang, R.[Ru], Liu, J.[Jianyi],
Linguistic Steganalysis by Enhancing and Integrating Local and Global Features,
SPLetters(30), 2023, pp. 16-20.
IEEE DOI 2302
Feature extraction, Semantics, Steganography, Linguistics, Field-flow fractionation, Convolution, Classification algorithms, global long-term dependencies BibRef

Wang, R.[Rong], Xiang, L.Y.[Ling-Yun], Liu, Y.F.[Yang-Fan], Yang, C.F.[Chun-Fang],
PNG-Stega: Progressive Non-Autoregressive Generative Linguistic Steganography,
SPLetters(30), 2023, pp. 528-532.
IEEE DOI 2305
Steganography, Semantics, Linguistics, Encoding, Probability distribution, Data mining, Receivers, steganographic encoding BibRef

Gao, L.[Liting], Wen, J.[Juan], Zhang, Z.W.[Zi-Wei], Fan, G.Y.[Guang-Ying], Zhou, Y.[Yinghan],
Linguistic Steganalysis via Probabilistic Weighted Contrastive Learning,
SPLetters(31), 2024, pp. 1875-1879.
IEEE DOI 2408
Feature extraction, Training, Contrastive learning, Linguistics, Vectors, Steganography, Task analysis, Kullback-Leibler divergence, weighting network BibRef

Wu, J.X.[Jia-Xuan], Chen, X.[Xin], Wen, J.[Juan], Peng, W.L.[Wan-Li], Xue, Y.M.[Yi-Ming],
A Test-Time Entropy Minimization Method for Cross-Domain Linguistic Steganalysis,
SPLetters(31), 2024, pp. 1760-1764.
IEEE DOI 2408
Adaptation models, Data models, Training, Task analysis, Testing, Steganography, Linguistics, Steganalysis, domain mismatch, test-time adaptation BibRef

Wen, S.[Shuangbing], Zhang, Q.[Qishan], Hu, T.[Tao], Li, J.[Jun],
Robust Audio Watermarking Against Manipulation Attacks Based on Deep Learning,
SPLetters(32), 2025, pp. 126-130.
IEEE DOI 2501
Watermarking, Robustness, Decoding, Deep learning, Noise, Convolution, Training, Signal to noise ratio, Frequency-domain analysis, deep learning BibRef

Gerhardt, M.[Milica], Cuccovillo, L.[Luca], Aichroth, P.[Patrick],
Audio Provenance Analysis in Heterogeneous Media Sets,
WMF24(4387-4396)
IEEE DOI 2410
Directed acyclic graph, Media, Benchmark testing, Phylogeny, Audio Provenance Analysis, Audio Forensics, Media Provenance BibRef

Liu, P.[Peng], Zhang, S.Y.[Shu-Yi], Yao, C.[Chuanjian], Ye, W.Z.[Wen-Zhe], Li, X.X.[Xian-Xian],
Backdoor Attacks against Deep Neural Networks by Personalized Audio Steganography,
ICPR22(68-74)
IEEE DOI 2212
Deep learning, Training, Steganography, Neural networks, Training data, Benchmark testing, Behavioral sciences BibRef

Yang, H., Ouyang, H., Koltun, V., Chen, Q.,
Hiding Video in Audio via Reversible Generative Models,
ICCV19(1100-1109)
IEEE DOI 2004
data compression, data encapsulation, steganography, video coding, reversible generative models, audio files, perceptual fidelity, Decoding BibRef