Adaptive audio processing based on scene detection

This disclosure describes techniques to automatically adjust audio processing parameters based on acoustic scene detection. A parameter adjustment module utilizes default dynamic range compression settings during initial audio recording using a mobile device. A trained machine learning model is utilized to detect the acoustic scene, based on initial audio signals. Features such as the average loudness, maximum loudness, minimum loudness, acoustic scene, wind noise, and other user context features, as permitted by the user, are provided to the trained model. The model is utilized to adapt audio processing parameters such as the compression profile to the detected scene to improve audio recording quality.