Synthetic Audio Optimization by feature driven importance.Official page for the analysis and modeling of the SAOP project.
In this page you will find the different examples and analysis of the best perceived optimization vs. the default synthetic sample and the recorded (ground truth sample).
The page of the procedural audio engine: Nemisindo. This engine gives the opportunity to create and mofidy the models in real time. Below we compare 3 samples, and show the difference between the top-5 important features with their changes.
The rain model used in Nemisindo is a mix between additive, modal physically informed and physical modelling.
Optimization
The best perceived model according to our subjective evaluation.
Post production effects used: Compression.
We modified the parameters available like: Ambient noise: 0.15, splatter: 0.96 and droplets: 0.5

The fire model used in Nemisindo is a mix between additive, modal, subtractive and physically informed synthesis.
The applause model used in Nemisindo is an additive synthesis model.It is inspired by the Andrew Farnell work.
Optimization The best perceived model according to our subjective evaluation. Post production effects used: We modified the parameters of clapping rate and enthusiasm. We performed compression and distortion.
