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Speech Hiding Based on Auditory Wavelet

机译:基于听觉小波的语音隐藏

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摘要

A novel method to embed secret speech into open speech is proposed. The secret speech is coded into binary parameter bits with Mix-Excitation Linear Prediction (MELP) algorithm, and the bits are used to form hiding information sequence. The open speech is automatically divided into voiced frames and unvoiced frame using auditory wavelet transform. One voice frame, the auditory wavelet transform was used to detect pitch, and the pitch is utilized to the current embedding position in open speech. The information hiding procedure is completed by modifying relevant wavelet coefficients. At the receiver, based on the same pitch detection method, the embedding position is found and the hiding bit is recovered. The secret speech can be received after MELP decoding. The experiments show that the method is strongly robust to many attacks such as compression, filter and so on.
机译:提出了一种将秘密语音嵌入公开语音的新方法。使用混合激励线性预测(MELP)算法将秘密语音编码为二进制参数位,这些位用于形成隐藏信息序列。使用听觉小波变换,将开放语音自动分为浊音帧和清音帧。使用一个语音帧,听觉小波变换来检测音调,并将音调用于开放语音中的当前嵌入位置。通过修改相关的小波系数来完成信息隐藏过程。在接收机处,基于相同的音高检测方法,找到嵌入位置并恢复隐藏位。可以在MELP解码后接收秘密语音。实验表明,该方法对多种攻击(如压缩,过滤等)具有很强的鲁棒性。

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