AES Convention Papers Forum

Pyramidal Algorithm for the Restoration of Audio Signal Corrupted by Wideband Noise

Document Thumbnail

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.

AES Convention: Paper Number:
Publication Date:
Session Subject:

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.

Subscribe to this discussion

RSS Feed To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:

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.

AES - Audio Engineering Society