Community

AES Conference Papers Forum

Metadata Features that Affect Artificial Reverberator Intensity

Document Thumbnail

The vast amount of metadata available to audio researchers has been used in a number of ways, including music transcription, music genre classification, and automatic mixing. Of particular interest to us is the way that metadata can be used to assist in the music production process. In this paper, we explore the potential benefits of using this data when controlling artificial reverberation. Using the psychophysical method of magnitude estimation, we gather data on the perceived intensity of reverberation for a range of reverberation ratios, sources and listening levels. We show that whilst reverberation intensity is related to the ratio, this relationship is nonlinear. We also show that reverberation intensity is dependent on the source, and strongly dependent upon the listening level. We suggest that using metadata related to source type and either mixing or reproduction environment could be used to simplify the control of reverberation audio effects.

Authors:
Affiliation:
AES Conference:
Paper Number:
Publication Date:
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:
Username:
Password:

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