'Signal to Noise Loops v4' for Culture Night Dublin

Stephen Roddy

'Signal to Noise Loops v4' for Culture Night Dublin

Stephen Roddy (Composer)

School of English and Digital Humanities

Research output: Non-textual form › Exhibition

Abstract

'Signal to Noise Loops v4' for Culture Night Dublin, September 2021.

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	Culture Night Dublin
Publication status	Published - 2021

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
Generative Music
Wavetable Synthesis
Granular Synthesis

Cite this

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title = "'Signal to Noise Loops v4' for Culture Night Dublin",

abstract = "'Signal to Noise Loops v4' for Culture Night Dublin, September 2021. 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. ",

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author = "Stephen Roddy",

year = "2021",

language = "English (Ireland)",

publisher = "Culture Night Dublin",

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N2 - 'Signal to Noise Loops v4' for Culture Night Dublin, September 2021. 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.

AB - 'Signal to Noise Loops v4' for Culture Night Dublin, September 2021. 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.

KW - Music

KW - Cybernetics

KW - Sonification

KW - sound & music computing

KW - Media Engineering

KW - Internet of Things (IoT)

KW - Internet of Sounds (IoS)

KW - Sensor Networks

KW - Machine Learning

KW - Artificial Intelligence (AI)

KW - Digital Art

KW - Sound Art

KW - Generative Music

KW - Wavetable Synthesis

KW - Granular Synthesis

M3 - Exhibition

PB - Culture Night Dublin

ER -

'Signal to Noise Loops v4' for Culture Night Dublin

Abstract

UCC Futures

Keywords

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