Speech Compression and Encoding

This MATLAB implementation focuses on speech compression and encoding techniques, primarily utilizing psychoacoustic models to achieve low-bitrate coding while preserving high-quality audio. The algorithm incorporates advanced signal processing techniques that reduce data size without compromising speech intelligibility. By implementing psychoacoustic models that simulate human auditory perception thresholds, the code effectively eliminates imperceptible audio components, optimizing compression efficiency. Key functions include audio signal analysis, masking threshold calculation, and perceptual bit allocation. The implementation ensures that redundant audio information is removed based on human hearing characteristics, resulting in efficient compression ratios. The MATLAB code provides a comprehensive framework for processing speech signals through spectral analysis, quantization optimization, and entropy coding techniques, delivering superior performance in both compression rate and audio quality preservation.