C Implementation & comparison of companding & silence audio compression techniques

TL;DR

This paper compares companding and silence compression techniques for audio, analyzing their algorithms and performance in reducing data size while maintaining audio quality.

Contribution

It provides an implementation and comparative analysis of two audio compression methods, highlighting their effectiveness and differences.

Findings

Silence compression effectively reduces data size for silent segments.

Companding maintains audio quality with moderate compression.

Comparison results show trade-offs between compression ratio and audio fidelity.

Abstract

Just about all the newest living room audio-video electronics and PC multimedia products being designed today will incorporate some form of compressed digitized-audio processing capability. Audio compression reduces the bit rate required to represent an analog audio signal while maintaining the perceived audio quality. Discarding inaudible data reduces the storage, transmission and compute requirements of handling high-quality audio files. This paper covers wave audio file format & algorithm of silence compression method and companding method to compress and decompress wave audio file. Then it compares the result of these two methods.