Inverse Filtering Design Using a Minimal-Phase Target Function from Regularization
Inverse filtering methods commonly use amplitude regularization as a technique to limit the amount of work done by the inverse filter. The amount of regularization needed must be carefully selected so that the audio quality is not degraded. This paper introduces a method of using the magnitude of the regularization to design a target/desired response in which the phase response can be arbitrarily chosen. By choosing a minimum-phase response, one can reduce any pre-response in the corrected signal that is introduced by the regularization. Objective measures, such as PEAQ and subjective tests conducted in accordance to the MUSHRA method are used to evaluate the subjective performance of this new approach of designing a target response.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.