In this contribution we analyze different filtering algorithms for removing hum disturbances from audio recordings. In order to protect the desired signal, high frequency selectivity of the used filters is necessary. However, due to the time-bandwidth uncertainty principle, high frequency selectivity brings about long impulse responses. This can result in audibly resonating filters, causing artefacts in the output signal. Thus, the choice of the optimal algorithm is a compromise between frequency selectivity and acceptable time domain behavior. In this context, different filter structures and algorithms have different characteristics. To investigate their influence on the hum disturbance and the desired signal, we have evaluated three methods using objective measures to illustrate advantages and drawbacks of the individual approaches.
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can
subscribe to this RSS feed.
Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.
