Sac is a state-of-the-art lossless audio compression model.
Lossless audio compression is a complex problem, because PCM data is highly non-stationary and uses high sample resolution (typically >=16bit). That’s why classic context modelling suffers from context dilution problems. Sac employs a simple OLS-NLMS predictor per frame including bias correction. Prediction residuals are encoded using a sophisticated bitplane coder including SSE and various forms of probability estimations. Meta-parameters of the predictor are optimized with DDS on by-frame basis. This results in a highly asymmetric codec design.
Technical features:
- Input: wav file with 1-16 bit sample size, mono/stereo, pcm
- Output: sac file including all input metadata
- Decoded wav file is bit for bit identical to input wav file
- MD5 of raw pcm values
The Audio File 