In some examples, loudness enhancement based on multiband range compression may include determining, based on variations in compression parameters that include compression thresholds and compression ratios, corresponding variations in loudness levels for a specified loudness standard. A learning model may be trained based on the variations in the compression parameters and the corresponding variations in the loudness levels. A specified loudness level for a device may be ascertained, for example, from a user of the device. The compression parameters for the specified loudness level may be determined based on the trained learning model. Further, sub-band compression of an input audio signal may be performed, based on the determined compression parameters, by processing the input audio signal using a perfect reconstruction filterbank.