Digital Watermark Embedding and Extraction in WAV Audio Files

The original text describes using the readily available software Super MP3 Converter Master V1.20 to convert MP3 files to WAV format. Subsequently, MATLAB software can be employed to embed digital watermarks into WAV files, achieving both watermark embedding and extraction functionality. For the MATLAB implementation, the process typically involves: 1. Audio signal processing using MATLAB's built-in functions like audioread() to load WAV files and obtain audio data and sampling rate 2. Watermark embedding algorithms such as Least Significant Bit (LSB) substitution in time domain or frequency domain techniques using Discrete Cosine Transform (DCT) or Discrete Wavelet Transform (DWT) 3. Implementation of embedding functions that modify specific audio components while maintaining audio quality 4. Extraction algorithms that reverse the embedding process to retrieve the watermark data 5. Use of audiowrite() function to save the watermarked audio file The MATLAB code typically includes signal processing operations, quantization steps, and error correction mechanisms to ensure robust watermark recovery while minimizing audio quality degradation.