A new source coding is proposed for secure and robust speech communications. The method is based on the combination of compressed sensing and split-multistage vector quantization. The proposed codec is integrated in an end-to-end communication system, and its performance is investigated in real mobile communication conditions. Channel compensation techniques are considered to mitigate the Rayleigh channel effects usually observed in mobile communications. Using the proposed speech coding scheme instead of current standards (e.g., AMR-WB) within the communication system results in a new end-to-end mobile communication design. The proposed design increases the transmission speed, robustness, and security without additional costs. For a bit rate of 8.85 kbit/s and in 10 dB Rayleigh environment, the recovered speech has a good perceptual evaluation of speech quality score close to 3.14 and a fair coherence speech intelligibility index value of around 0.47. Comparison with recent CS-based speech coding methods shows the merit of the proposed coder.

提出了一种用于安全和鲁棒的语音通信的新的源编码。该方法基于压缩感测和分段多级矢量量化的组合。所提出的编解码器集成在端到端通信系统中，并在实际的移动通信条件下研究了其性能。信道补偿技术被认为可以减轻通常在移动通信中观察到的瑞利信道效应。使用提议的语音编码方案代替通信系统中的当前标准（例如，AMR-WB）导致新的端到端移动通信设计。所提出的设计提高了传输速度，鲁棒性和安全性，而没有额外的成本。对于8.85 kbit / s的比特率和10 dB的瑞利环境，恢复的语音具有良好的语音质量得分的感知评估接近3.14，公平的语音清晰度指数约为0.47。与最近的基于CS的语音编码方法的比较显示了所提出的编码器的优点。