Post-Fourier analysis techniques, computational auditory-scene analysis, and unsupervised clustering techniques are jointly used to achieve an adequate representation of the sound patterns synthesized in "Building blocks" component.
Subsequently, supervised classifiers and predictors are developed to automatically capture / measure the emotional and functional-aesthetic attributes that have been identified in "Human reception" component. The quality of the measurement is defined by the consistency with the experimental results in "Human reception" component.
Finally, the tools are developed to visualize the attributes identified in the measurement step.
This work is done by NIPG.