基于隨機位置選擇和矩陣編碼的語音信息隱藏方法
doi: 10.11999/JEIT181163
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中國民航大學電子信息與自動化學院 天津 300300
基金項目: 國家自然基金委員會與中國民航局聯(lián)合基金(U1933108)，天津市 自然科學基金(17JCZDJC30900)，天津市教委科研計劃項目 (2019KJ117), 2018 年中央高?；究蒲袠I(yè)務費項目(3122018D007, 3122018C003)
Speech Information Hiding Method Based on Random Position Selection and Matrix Coding
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College of Information Engineering and Automation, Civil Aviation University of China, Tianjin 300300, China
Funds: The Joint Funds of National Natural Science Foundation of China and Civil Aviation Administration of China (U1933108), The Key Program of Natural Science Foundation of Tianjin (17JCZDJC30900), The Scientific Research Project of Tianjin Municipal Education Commission (2019KJ117), The Fundamental Research Funds for the Central Universities of China (3122018D34007, 3122018C003)
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摘要:
針對低速率語音編碼問題，該文提出基于G.723.1編碼標準的信息隱藏算法。在基音預測編碼過程中，通過控制閉環(huán)基音周期(自適應碼本)的搜索范圍，該文結合隨機位置選擇方法(RPS)和矩陣編碼方法(MCM)，實現(xiàn)秘密信息的嵌入，在語音編碼過程中實現(xiàn)了信息的隱藏。RPS方法的采用降低了載體碼字之間的關聯(lián)性，MCM方法的采用降低了載體的改變率。實驗結果證明，該文算法下PESQ惡化率平均值最大為1.63%，隱蔽性良好。
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關鍵詞:
- 低速率語音編碼 /
- G.723.1編碼標準 /
- 基音預測 /
- 閉環(huán)基音周期
Abstract:For the low-rate speech encoding problem, an information hidden algorithm based on the G.723.1 coding standard is proposed. In the pitch prediction coding process, by controlling the search range of the closed-loop pitch period (adaptive codebook), combined with the Random Position Selection (RPS) method and the Matrix Coding Method (MCM), the secret information is embedded, which is implemented in the speech coding process. The adoption of the RPS method reduces the correlation between the carrier code-words, and the adoption of the MCM method reduces the rate of change of the carrier. The experimental results show that the average PESQ (Perceptual Evaluation of Speech Quality) deterioration rate under the algorithm is 1.63%, and the concealment is good.
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表 1 發(fā)送方、接收方臺式PC配置情況
處理器 內(nèi)存 聲卡 系統(tǒng) Intel(R) Core(TM) i5-4590 CPU @ 3.30 GHz 4 GB Realtek High Definition Audio Windows 7專業(yè)版 Service Pack 1 
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表 2 本文隱藏算法的PESQ統(tǒng)計值
載密語音樣本 未載密語音樣本 PESQ改變率(%) 3 s語音樣本 CSM CSW ESM ESW CSM CSW ESM ESW CSM CSW ESM ESW 平均值 3.4237 3.3440 3.4165 3.4750 3.4429 3.3995 3.4259 3.5193 –0.55 –1.63 –0.27 –1.20 最大值 3.8999 3.7815 4.0995 4.1015 3.8262 3.7406 3.8863 3.9458 1.93 1.09 5.49 3.94 最小值 2.9756 2.9615 2.9756 2.9022 3.0930 3.1701 3.1160 3.1265 –3.80 –6.58 –4.51 –7.17 10 s語音樣本 CSM CSW ESM ESW CSM CSW ESM ESW CSM CSW ESM ESW 平均值 3.4095 3.3528 3.3990 3.3822 3.4218 3.3900 3.4102 3.4362 –0.37 –1.09 –0.33 –1.50 最大值 3.7954 3.7102 3.7614 3.8714 3.7406 3.6783 3.7406 3.8632 1.47 0.87 2.12 0.21 最小值 2.9965 2.9113 3.1003 2.9965 3.0590 3.0180 3.1123 3.0590 –2.00 –3.53 –1.20 –2.00
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表 5 在滿嵌入率下兩種隱藏算法檢測率(%)
隱藏方法 語音種類 樣本時長(s) 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 2.0 3.0 4.0 5.0 6.0 文獻[10]隱藏算法 英文 85.40 88.00 88.50 89.25 90.10 91.45 91.40 92.40 92.95 93.70 96.20 96.95 97.15 97.65 97.35 中文 86.80 88.65 90.20 90.50 91.20 92.25 93.10 94.25 94.70 94.05 96.80 97.20 98.15 97.75 97.95 文獻[11]隱藏算法 英文 87.65 90.11 90.81 91.65 92.89 94.00 94.15 95.01 95.20 96.64 97.20 98.70 100.00 100.00 100.00 中文 90.70 92.95 94.00 94.55 95.79 96.83 97.16 98.22 98.30 98.89 99.16 99.99 100.00 100.00 100.00 本文隱藏算法 英文 43.20 46.43 46.95 47.33 48.39 49.51 49.44 50.36 51.64 51.93 54.67 55.68 55.92 56.04 55.94 中文 45.51 46.91 47.56 47.48 48.72 49.70 49.53 52.14 52.37 52.87 55.06 55.86 56.09 56.35 55.63
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表 6 在不同嵌入率下3種隱藏算法檢測率(%)
隱藏方法 語音種類 嵌入率(%) 10 20 30 40 50 60 70 80 90 100 文獻[10]隱藏算法 英文 50.61 57.64 75.53 80.29 82.81 85.63 86.35 90.58 94.32 97.35 中文 51.93 58.49 75.28 80.56 82.49 85.27 87.92 92.56 95.63 97.95 文獻[11]隱藏算法 英文 53.94 60.89 78.66 83.49 85.91 88.69 89.35 93.74 97.25 100.00 中文 54.53 61.67 79.55 84.88 86.77 89.55 91.83 95.66 98.55 100.00 本文隱藏算法 英文 16.32 17.52 30.87 39.48 41.16 44.15 45.62 48.12 52.61 55.94 中文 15.22 17.35 30.56 39.52 41.74 44.16 44.59 49.31 52.38 55.63
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