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.
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