To increase transfer and storage efficiencies of the information, data compression has emerged as a significant issue in the communication environments. This paper introduces compression and encryption of speech signals based on Discrete Wavelet Transform (DWT) and Chaotic signals. DWT sparsens and codes the speech signal to the wavelet coefficients. The less impactful coefficients are eliminated to reduce the amount of data. After that, a new coding process which utilizes the chaotic signals is proposed to encode, in encrypted form, the residual coefficients. A High strength to the encryption process is realized by using four linked Hènon Chaotic Maps (HCM) in the proposed scheme. Multi HCM guarantees larger than 10²⁴⁰ of key space to the encryption process. The proposed system obtains up to −41.449 dB of spectral segmental signal-to-noise ratio, which measures and proves the strength of encryption. Also, at 10% compression ratio, signal-to-noise ratio of 11.549 dB and perceptual evaluation speech quality of 3.02945 demonstrate that the proposed system has high quality and intelligibility of the reconstructed speech.

为了提高信息的传输和存储效率，数据压缩已成为通信环境中的重要问题。本文介绍了基于离散小波变换（DWT）和混沌信号的语音信号压缩和加密。DWT稀疏并将语音信号编码为小波系数。消除了影响较小的系数以减少数据量。此后，提出了一种利用混沌信号的新编码方法，以加密形式对残差系数进行编码。通过在所提出的方案中使用四个链接的Hènon混沌映射（HCM），实现了加密过程的高强度。多HCM保证大于¹⁰²⁴⁰加密过程的密钥空间。拟议的系统获得了最高-41.449 dB的频谱分段信噪比，可以测量并证明加密的强度。同样，在10％压缩率下，信噪比为11.549 dB，感知评估语音质量为3.02945，表明所提出的系统具有高质量和可重构语音的清晰度。