summaery2025: Projects

Project information

submitted by
Ting-Chun Liu

Co-Authors
Nicolas Quintero Mosquera, Zeynep Bodur, Aurora Marinato, Marleen Gertloff, Mengzhu Shi, Jaeyun Hur, Pradhyumnaa Ganapathi Subramanian, Meng-Yun Tsai, Sofia Egorova, Leran Tao

Mentors
Isabella Lee Arturo, Ting-Chun Liu, Jörg Brinkmann

Faculty:
Art and Design

Degree programme:
Visual Communication (Bachelor of Arts (B.A.)),
Visual Communication (Master of Arts (M.A.)),
Media Art and Design (Bachelor of Fine Arts (B.F.A.)),
Media Art and Design -Study programme Media Art und Design (MAD) (english) (Master of Fine Arts (M.F.A.))

Type of project presentation
Event

Semester
Sommersemester2025

• Amalienstraße 13
  (Hybrides Lernatelier 003)
• Bauhausstraße 9a - Digital Bauhaus Lab
• Amalienstraße 13
  (Hybrides Lernatelier 003)
• Bauhausstraße 9a - Digital Bauhaus Lab

Thursday 16:00 - 20:00, Friday 12:00 - 20:00

Contributors:
Marleen Gertloff 
Mengzhu Shi / Jaeyun Hur
Pradhyumnaa Ganapathi Subramanian
Meng-Yun Tsai
Sofia Egorova
Leran Tao

Project description

This showcases exhibit the practices of students from two courses: "Speech to Text to Actions" and "Unexpected Imageries - Programming Generative Art."

Students from Speech to Text to Actions present interactive performances exploring the integration of spoken and written words, using speech recognition and live transcription technologies to translate voice into text in real-time. Their works bridge symbolic and embodied experiences through poetic, satirical, and political expressions.

Students from Unexpected Imageries display generative art installations - complex and interactive moving images created using data and algorithms. These works demonstrate particle systems, recursive algorithms, and object-oriented programming with Processing, p5.js and python, accepting and developing unexpected outcomes from various data sources.

Together, these practices reveal how voice, text, and generative algorithms can create new forms of computational art. Tonight's "open mic" format invites live audience participation, where spoken words become raw material for both transcription-based performances and real-time generative visual responses.