The field of audio compression is moving towards a greater emphasis on perceptual quality, with researchers considering not only compression efficiency but also the sonic properties of available codecs. This shift is driven by the increasing importance of audio fidelity in digital media. Recent work has focused on developing new compression algorithms and evaluating the performance of existing ones, with a particular emphasis on real-time streaming applications. Noteworthy papers in this area include those that propose novel lossless audio compression algorithms, such as OBHS, which achieves high compression ratios while maintaining low computational complexity. Others, such as the work on Compression with Privacy-Preserving Random Access, demonstrate the possibility of losslessly compressing binary source sequences while preserving individual bit privacy.