Automatic design of feedback delay network reverb parameters for impulse response matching

Jay Coggin, Will Pirkle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traditional reverberation algorithms generally fall into two approaches: physical methods, which involve either convolving with room impulse responses (IRs) or modeling a physical space, and perceptual methods, which allow the use of practically any reverberation modules in various combinations to achieve a perceptually realistic reverberation sound. Perceptual reverberator algorithms are typically "hand tuned" where many of their parameters are found empirically. In this paper we present an automatic method of matching Feedback Delay Network parameters to real room impulse responses so that we may produce computationally efficient reverberation algorithms that perceptually match linear convolution with the target room IRs. Features are extracted from the target room IR and used to guide a Genetic Algorithm search to find the reverberator parameters.

Original languageEnglish (US)
Title of host publication141st Audio Engineering Society International Convention 2016, AES 2016
PublisherAudio Engineering Society
StatePublished - 2016
Event141st Audio Engineering Society International Convention 2016, AES 2016 - Los Angeles, United States
Duration: Sep 29 2016Oct 2 2016

Other

Other141st Audio Engineering Society International Convention 2016, AES 2016
CountryUnited States
CityLos Angeles
Period9/29/1610/2/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Modeling and Simulation
  • Acoustics and Ultrasonics

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    Coggin, J., & Pirkle, W. (2016). Automatic design of feedback delay network reverb parameters for impulse response matching. In 141st Audio Engineering Society International Convention 2016, AES 2016 Audio Engineering Society.