Genetic Algorithms (Forum Acousticum 2014)
The Genetic Material Optimizer is a tool for modifying materials in the room in order to match simulated room acoustic parameters to measured ones. This is very useful when an existing room needs to be improved acoustically using simulations, while the real materials are not completely known. Using this tool makes it possible to “calibrate” the ODEON model to the real one.
This presentation was originally made for Forum Acusticum 2014.
0:00 Intro and agenda
0:47 Problem to be solved
1:21 Genetic Algorithms
3:18 Target acoustic parameters
3:58 Fitness function and JND
6:07 Defining search space
7:10 Auditorium case study
8:23 Error before and after fitting
9:27 Simulated vs. measured results
10:57 Estimation of resonator panel resonance
11:50 Demonstration of material optimizer
Sine sweep optimization for room impulse response measurements (e-Forum Acusticum 2020)
ODEON research originally presented in e-Forum Acusticum 2020. The findings of this research were applied towards implementing a new feature in ODEON 16.
0:45 Signal to Noise ratio (SNR)
1:58 Sweep design
2:47 Sweep spectrum corrections
3:47 Corrected sweep implementation
4:31 Correction from a pilot measurement
6:41 Experimental validation
7:02 Experimental noise conditions
8:48 Correction from pilot 1
10:21 Application: Measurement of T20
Audio effects for multi-source auralisations (I3DA 2021)
Presentation for the virtual conference I3DA 2021, showing the method and workflow for creating realistic multi-source auralisations from few anechoic recordings using ODEON’s audio effects.
3:48 Audio effects in ODEON
6:28 Creating a string orchestra
9:22 Creating a crowd in a cafeteria