Abstract
To address the issues of watermarking scheme by using public features, we define sample correlation degree feature of speech signal and present the embedding method based on the feature. Then, the scheme for speech forensics is proposed. We cut host speech into frames and each frame into two parts. Then convert frame number into watermark bits, which are embedded into the two parts of each frame. The integrity of each frame is testified by comparing with watermark bits extracted from the two parts. Theoretical analysis and experimental results demonstrate that the scheme is robust against desynchronization attack and effective for digital speech authentication.
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Sun, F., Li, Y., Liu, Z., Qi, C. (2019). Speech Forensics Based on Sample Correlation Degree. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-13-0344-9_14
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DOI: https://doi.org/10.1007/978-981-13-0344-9_14
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Online ISBN: 978-981-13-0344-9
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