Abstract
The following paper analyzes the use of the Genetic Algorithm (GA) in conjunction with a length-4 feedback delay network for audio reverberation applications. While it is possible to manually assign coefficient values to the feedback network, our goal was to automate the generation of these coefficients to help produce a reverb with characteristics as similar to those of a real room reverberation as possible. We designed a GA to be used in a delay-based reverb that would be more desirable in the use of real-time applications than the more computationally expensive convolution reverb.
| Original language | English (US) |
|---|---|
| Title of host publication | 133rd Audio Engineering Society Convention 2012, AES 2012 |
| Pages | 588-593 |
| Number of pages | 6 |
| Volume | 1 |
| State | Published - 2012 |
| Event | 133rd Audio Engineering Society Convention 2012, AES 2012 - San Francisco, CA, United States Duration: Oct 26 2012 → Oct 29 2012 |
Other
| Other | 133rd Audio Engineering Society Convention 2012, AES 2012 |
|---|---|
| Country | United States |
| City | San Francisco, CA |
| Period | 10/26/12 → 10/29/12 |
Fingerprint
ASJC Scopus subject areas
- Modeling and Simulation
- Acoustics and Ultrasonics
Cite this
Generating matrix coefficients for feedback delay networks using genetic algorithm. / Chemistruck, Michael; Marcolini, Kyle; Pirkle, Will.
133rd Audio Engineering Society Convention 2012, AES 2012. Vol. 1 2012. p. 588-593.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Generating matrix coefficients for feedback delay networks using genetic algorithm
AU - Chemistruck, Michael
AU - Marcolini, Kyle
AU - Pirkle, Will
PY - 2012
Y1 - 2012
N2 - The following paper analyzes the use of the Genetic Algorithm (GA) in conjunction with a length-4 feedback delay network for audio reverberation applications. While it is possible to manually assign coefficient values to the feedback network, our goal was to automate the generation of these coefficients to help produce a reverb with characteristics as similar to those of a real room reverberation as possible. We designed a GA to be used in a delay-based reverb that would be more desirable in the use of real-time applications than the more computationally expensive convolution reverb.
AB - The following paper analyzes the use of the Genetic Algorithm (GA) in conjunction with a length-4 feedback delay network for audio reverberation applications. While it is possible to manually assign coefficient values to the feedback network, our goal was to automate the generation of these coefficients to help produce a reverb with characteristics as similar to those of a real room reverberation as possible. We designed a GA to be used in a delay-based reverb that would be more desirable in the use of real-time applications than the more computationally expensive convolution reverb.
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M3 - Conference contribution
SN - 9781622766031
VL - 1
SP - 588
EP - 593
BT - 133rd Audio Engineering Society Convention 2012, AES 2012
ER -