AES Journal Forum

Modeling Audio Effects

Document Thumbnail

[Feature] Dynamic range compressors represent a good example of regularly used effects that rely on nonlinear processing, and it is common to attempt to emulate classic designs in digital plug-ins. The techniques used to profile or model such devices have included deep learning neural networks, the estimation of polynomial functions, and use of lookup tables. It's possible to construct a digital version of a parametric filter that gives the impression of having the correct response within the audio range even when its center frequency is above the Nyquist frequency. We also discover a novel approach to reducing the room effect of reproduced audio signals that preserves the direct sound and early reflections while reducing the influence of late reverberation.

JAES Volume 68 Issue 1/2 pp. 100-104; January 2020
Publication Date:

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 feature yet.

Subscribe to this discussion

RSS Feed To be notified of new comments on this feature 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 feature 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 feature 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