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On the ability of adaptation of speech signals and data hiding

机译：论语音信号的适应能力和数据隐藏

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The efficient wavelet masking is a scheme of speech-in-speech hiding based on the ability of adaptation of speech signals under the hypothesis "any (speech) secret signal may seem similar to a (speech) host signal if its wavelet coefficients are sorted" (Ballesteros L & Moreno A, 2012). In this paper, we delimitate the conditions under which the above hypothesis is true, as follows: (i) the secret and host signals must belong to legible voice signals, (ii) both signals must have the same sampling frequency, (iii) both signals must have the same time-frame, and finally (iv) the ratio between the non-zero coefficients of them should be in the interval [0.8 1.2]. Experimental tests were conducted to demonstrate the hypothesis on different cases: vowel to vowel, message to message and vowel & message, in three languages: English, French, and German. The parameter used to measure the similarity between the adapted secret message and the host signal is the squared Pearson correlation coefficient, r2. The results demonstrate that the hypothesis is true under the theoretical conditions because in all the test cases r2 was closed to 1 and the p-value was lower than 0.05.
机译：有效的小波掩蔽是一种语音假设下的语音掩盖方案，该假设是在假设“如果对任何（语音）秘密信号的小波系数进行排序后，任何（语音）秘密信号都可能类似于（语音）主机信号” （Ballesteros L＆Moreno A，2012年）。在本文中，我们对上述假设成立的条件进行了界定，如下：（i）机密和主机信号必须属于清晰的语音信号，（ii）两个信号必须具有相同的采样频率，（iii）信号必须具有相同的时间范围，最后（iv）它们的非零系数之比应在[0.8 1.2]区间内。进行了实验测试，以三种不同的语言（英语，法语和德语）证明了不同情况下的假设：元音到元音，消息到消息以及元音和消息。用于测量调整后的秘密消息和主机信号之间的相似性的参数是平方的皮尔逊相关系数r2。结果表明该假设在理论条件下是正确的，因为在所有测试案例中，r2均接近于1，且p值小于0.05。

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