Room reverberation consists of a multitude of reflections from surfaces and objects in a room. Particularly the late reverberation tail resembles noise with an exponential decay envelope. Artificial reverberation algorithms try to simulate this in a computationally efficient manner. Some proposed algorithms are based on the convolution with a sparse FIR filter corresponding to a randomized sparse sequence of unit impulses. In this paper we search for such sequences with minimal impulse density vs. maximal smoothness of the noise-like characteristics. Such noise is called here "velvet noise', because it can sound smoother than the Gaussian noise. The perceptual characteristics of velvet noise are described by results from listening experiments and auditory analysis. Reverb algorithms based on velvet noise are discussed and analyzed.
Authors:
Järveläinen, Hanna; Karjalainen, Matti
Affiliation:
Helsinki University of Technology
AES Conference:
30th International Conference: Intelligent Audio Environments (March 2007)
Paper Number:
7
Publication Date:
March 1, 2007
Subject:
Intelligent Audio Environments
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.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
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.