Restoration of noisy audio recordings seeks minimum degradation of sound and maximum suppression of noise. Spectral suppression methods perform best with high frequency resolution but the latter results in poor performance with transients. While Wavelet based algorithms attempt to optimize the time-frequency tradeoff, they suffer from frequency aliasing. The suggested pyramid algorithm is a good candidate to optimize the time-frequency resolution trade-off while avoiding aliasing. In this study an algorithm for removal of wide-band noise from old audio recordings is evaluated. The algorithm is based on the pyramid algorithm and on a spectral method for noise suppression. Results show enhanced conservation of onsets with efficient reduction of noise. The algorithm is implemented in real-time.
(See document for exact affiliation information.)
Click to purchase paper as a non-member 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 Join the AES. If you need to check your member status, login to the Member Portal.
