Application of ML-Based Time Series Forecasting to Audio Dynamic Range Compression

Time Series Forecasting (TSF) is used in astronomy, geology, weather forecasting, finance to name a few. Recent research [1] has shown that, combined with Machine Learning (ML) techniques, TSF can be applied successfully for short-term prediction of music signals. We present here an application of this approach to prediction of music levels and Dynamic Range Compression (DRC). Look ahead prediction of audio level allows to apply compression just-in-time, avoiding latency and attack/release time constants, which are proper to traditional DRC and difficult to tune.