Seeing Birdsong
hackernews
- © Lucio Arese 2025. All Rights Reserved.
- © Lucio Arese 2025. All Rights Reserved.
- Seeing Birdsong is an evolving framework that trasforms avian vocalizations into geometric form.
- It was first presented publicly at the 4th Ultrasonic Vocalization Conference hosted by
- Nencki Institute of Experimental Biology, part of the Polish Academy of Sciences.
- Its goal is to bridge art and acoustic science, offering new ways to perceive and study complex animal vocal patterns.
- Seeing Birdsong is an evolving framework that trasforms avian vocalizations into geometric form.
- It was first presented publicly at the 4th Ultrasonic Vocalization Conference hosted by
- Nencki Institute of Experimental Biology, part of the Polish Academy of Sciences.
- Its goal is to bridge art and acoustic science, offering new ways to perceive and study complex animal vocal patterns.
- Birdsong is one of nature’s most expressive voices.
- This project began as an attempt to give it visible form,
- transforming sound into spatial structures through
- early audio-driven oscillator experiments.
- Extensive research and development evolved it
- into a rigorous system of acoustic analysis. The framework now
- bridges art and science, turning avian voices into dynamic,
- data-rich structures. It offers a new way to perceive,
- study and preserve the complexity of bird vocalizations.
- Birdsong is one of nature’s most expressive voices.
- This project began as an attempt to give it visible form,
- transforming sound into spatial structures through
- early audio-driven oscillator experiments.
- Extensive research and development evolved it
- into a rigorous system of acoustic analysis. The framework now bridges art and science, turning avian voices into dynamic, data-rich structures.
- It offers a new way to perceive, study and preserve the complexity of bird vocalizations.
- The system elaborates audio into high-dimensional vectors,
- embedding them within dynamic three-dimensional manifolds.
- Its internal architecture is built on a multi-layered network of
- spectral descriptors, fully convertible into visual form
- into a wealth of 2d and 3d graphs.
- The result is a multi-faceted visual ecosystem, enabling novel ways to
- analytically explore the hidden structures of sound.
- The system elaborates audio into high-dimensional vectors, embedding them within dynamic
- three-dimensional manifolds.
- Its internal architecture is built on a multi-layered network of spectral descriptors, fully convertible into visual form into a wealth of 2d and 3d graphs.
- The result is a multi-faceted visual ecosystem, enabling novel ways to analytically explore the
- hidden structures of sound.
- FOR ART
- Live audio–visual performances.
- Data-driven generative installations.
- Visual storytelling of sound.
- FOR SCIENCE
- Comparative vocal analysis.
- Pattern discovery in high-dimensional data.
- Visual support for hypothesis generation.
- FOR EDUCATION
- Teaching acoustic concepts through visuals.
- Intuitive exploration of pitch and timbre.
- Demonstrations for workshops and museums.
- FOR ART
- Live audio–visual performances.
- Data-driven generative installations.
- Visual storytelling of sound.
- FOR SCIENCE
- Comparative vocal analysis.
- Pattern discovery in high-dimensional data.
- Visual support for hypothesis generation.
- FOR EDUCATION
- Teaching acoustic concepts through visuals.
- Intuitive exploration of pitch and timbre.
- Demonstrations for workshops and museums.
- INSTAGRAM GALLERY
- INSTAGRAM GALLERY
- CONTACT
- This project is offered as an open space for dialogue
- between art, science, technology and nature.
- Institutions, curators and researchers interested in exploring these intersections are welcome to reach out.
- CONTACT
- This project is offered as an open space for dialogue
- between art, science, technology and nature.
- Institutions, curators and researchers interested in exploring these intersections are welcome to reach out.
- © Lucio Arese 2025. All Rights Reserved.
- © Lucio Arese 2025. All Rights Reserved.
Source: hackernews