denorm [ ]

2024
c1
Thesis

Standard language, as it is commonly defined, does not adequately reflect how we actually speak. The sounds each person produces within their own way of speaking are highly individual and go beyond standard language. 
The sum of these many linguistic characteristics creates a norm-free, all-encompassing, and above all, dynamic verbal space.

Concept-Statement

Each person speaks in their own individual code – e.g.: through dialect or rhythm. This is automatically categorized and associated by listeners. 
In doing so, no way of speaking should be considered “better” or “worse” than another. 
In a non-judgmental space, we aim to present an 
broad and dynamic interpretation of language, while celebrating the unique sound of each individual.

Process

In the beginning, much of the work has been done through coding and experimenting with our workflow for the conversion into visuals. After that, the designing of the outputs came, which had us working through many exhausting late-night sessions.
Much of the process included adding and exploring parameters suitable to be translated from auditory into visual data. We ended up with more than 20 different parameters which made it possible to cre-ate individualized visual outputs for every speaker.

c2

As my bachelor's studies, ‘denorm [ ]’ has been my biggest project so far. It experiments with the translation of speech into visuals – Inside a new media art installation, focusing on immersion and interaction.

What does a person’s linguistic individuality look like when visualized?

We wanted to create a machine capable of declassifying attributed vocal sounds and individualizing them through a translation process.