Perceptual headphone equalization for mitigation of ambient noise
Jussi Rämö, Vesa Välimäki, Miikka Tikander · 2013
An adaptive perceptual equalizer for headphones is introduced. It estimates the effect of auditory masking while considering the characteristics of the headphones, ambient noise, and music. The system utilizes a psychoacoustic masking model to estimate the level to which the music should be raised to have the same perceived tonal balance in noise as it has in a quiet environment. Prototype testing showed that the most important task is to make the music audible in each Bark band. The compensation of the partial masking further improves the perceived sound quality. The system uses a microphone of a headset to capture the ambient noise. The equalization is implemented using a high-order graphical equalizer that does not require subband decomposition of the music signal. The proposed equalizer also retains reasonable SPL levels: in an example case, the maximum gain in one Bark band was 11 dB while the overall SPL increase was only 2.5 dB.