Residual feedback suppression with extended model-based postfilters

Abstract When designing closed-loop electro-acoustic systems, which can commonly be found in hearing aids or public address the most challenging task is canceling and/or suppressing feedback caused by acoustic coupling of transducers such systems. In many applications, cancelation based on adaptive filters used for this purpose. However, due to computational complexity a canceler often limited length filter’s impulse response. Consequently, residual feedback, still audible and may lead system instability, remains cases. work, we present enhancements model-based postfilters priori knowledge path cooperatively with filter-based suppress improve overall reduction capability. For this, adapted an existing reverberation model that our additionally considers presence performance filter. We tested effectiveness approach means both objective subjective evaluations.