Abstract
Most existing speech steganography breaks the continuity of adjacent pitch delay, which obviously degrades their statistically undetectability. This paper presents a novel steganographic scheme for low bit-rate speech stream against pitch delay steganalysis. Three measures are adopted to enhance steganographic security. First, the short-term stability of pitch delay and the statistical distribution of adjacent subframe are considered for designing a distortion function. Second, syndrome-trellis codes (STCs) is utilized to minimize the overall embedding impact based on the defined distortion function. Third, the suboptimal pitch delay is searched to maintain speech quality. Experimental results demonstrate that our scheme achieves higher level of security, especially in the case of low embedding rate. When the relative embedding rate is 0.2 for 10.2 kbit/s AMR stream, the test error rate of our method rises by 12.44% compared with the existing algorithm.
This work was supported by National Key Technology R&D Program under 2016YFB0801003 and 2016QY15Z2500, NSFC under U1636102, U1736214, 61872356 and 61802393, and Project of Beijing Municipal Science & Technology Commission under Z181100002718001.
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Gong, C., Yi, X., Zhao, X. (2019). Pitch Delay Based Adaptive Steganography for AMR Speech Stream. In: Yoo, C., Shi, YQ., Kim, H., Piva, A., Kim, G. (eds) Digital Forensics and Watermarking. IWDW 2018. Lecture Notes in Computer Science(), vol 11378. Springer, Cham. https://doi.org/10.1007/978-3-030-11389-6_21
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