Abstract
Signal to Noise Loops v4 for Audio Mostly, Trento, Italy, September 2021.
Performance of Signal to Noise Loops v4 at the Audio Mostly Concerts in Trento Italy & Online.
Program notes:
Signal to Noise Loops v4 is a data-driven audiovisual piece. It is informed by principles from the fields of IoT, Sonification, Generative Music, and Cybernetics. The piece maps data from noise sensors placed around Dublin City to control a generative algorithm that creates the music. Data is mapped to control the sound synthesis algorithms that define the timbre of individual musical voices and data is also mapped to control post-processing effects applied to in the piece.
The first movement consists of data recorded from noise level sensors around Dublin in March 2019. This is before the COVID-19 pandemic and the bustling nature of the city is well represented. The second movement consists of data recorded in March 2020 when restrictive and social distancing measures were introduced culminating in a full lockdown on March 27th. This section is notably more sedate.
The piece was created with Python, Ableton Live, and Processing.
Performance of Signal to Noise Loops v4 at the Audio Mostly Concerts in Trento Italy & Online.
Program notes:
Signal to Noise Loops v4 is a data-driven audiovisual piece. It is informed by principles from the fields of IoT, Sonification, Generative Music, and Cybernetics. The piece maps data from noise sensors placed around Dublin City to control a generative algorithm that creates the music. Data is mapped to control the sound synthesis algorithms that define the timbre of individual musical voices and data is also mapped to control post-processing effects applied to in the piece.
The first movement consists of data recorded from noise level sensors around Dublin in March 2019. This is before the COVID-19 pandemic and the bustling nature of the city is well represented. The second movement consists of data recorded in March 2020 when restrictive and social distancing measures were introduced culminating in a full lockdown on March 27th. This section is notably more sedate.
The piece was created with Python, Ableton Live, and Processing.
| Original language | English (Ireland) |
|---|---|
| Publisher | Audio Mostly (Association of Computing Machinery) |
| Publication status | Published - 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
UCC Futures
- Future Humanities Institute
- Future of Networks, Systems & Cybersecurity
- Artificial Intelligence and Data Analytics
Keywords
- Music
- Cybernetics
- Sonification
- sound & music computing
- Media Engineering
- Internet of Things (IoT)
- Internet of Sounds (IoS)
- Sensor Networks
- Machine Learning
- artificial intelligence (AI)
- Digital Art
- Sound Art
- Wavetable Synthesis
- Granular Synthesis
- Generative Music
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