AI MOD Music Remastering at 32-bit 96 kHz (github.com)

Quinlight Audio has unveiled a new tracker music player and remastering tool that enhances sound quality for MOD/S3M/XM/IT formats by remastering audio samples at a high resolution of 32-bit 96 kHz. This innovative tool allows for live playback comparisons between original samples and AI-enhanced remastering outputs using various AI engines like AudioSR and LavaSR. The Linux-first application supports direct opening of archived modules and features an advanced audio mixing system that operates entirely in double precision, reducing artifacts and improving overall sound clarity. The significance of this release lies in its integration of AI for audio processing, which represents a substantial leap in the remastering capabilities available to musicians and audio engineers. By utilizing a multi-engine consensus approach, Quinlight Audio combines outputs from different AI models to create a superior sound profile while employing sophisticated techniques such as Karcher mean spectral consensus. This method mitigates common audio issues and enhances the final result, making it a valuable tool for the AI/ML community by highlighting the increasing intersection of music technology and machine learning.