Implementation of Wavelet Transform-Based Speech Information Hiding
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Resource Overview
MATLAB source code implementing speech information hiding using wavelet transform. The algorithm applies 3-level wavelet decomposition to both original speech and watermark signals, then embeds the watermark's low-frequency components into selective high-frequency bands of the original speech. The implementation includes embedding procedures plus robustness testing against random noise, resampling, and compression attacks. Well-commented and structured code with clear technical documentation.
Detailed Documentation
This MATLAB implementation demonstrates wavelet transform-based speech information hiding. The algorithm begins by performing 3-level discrete wavelet decomposition (using functions like wavedec) on both the original speech signal and watermark data. The core embedding process involves inserting the low-frequency approximation coefficients (cA3) of the watermark into selected high-frequency detail coefficients (cD3, cD2, or cD1) of the host speech signal through quantization index modulation. The implementation features adjustable embedding strength parameters to balance transparency and robustness. Beyond the basic embedding/extraction functions, the code includes comprehensive attack simulation modules: additive white Gaussian noise (awgn function), resampling (resample with ratio variations), and compression (using audiowrite with quality parameters). Each test module calculates similarity metrics (SNR, NC) to evaluate performance degradation. The source code contains detailed inline comments explaining wavelet family selection (Daubechies wavelets preferred), coefficient selection strategies, and threshold optimization techniques for practical applications.
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