One Grain of Sound

This system was initially created in 2022 and focuses on non-pitched sound material from the clarinet, like tongue rams, key clicks, and different types of air sounds. The audio input from the clarinet is fed into a modular synthesizer where it is processed. The module mainly used in this patch is the Mutable Instruments Beads, a texture synthesizer working with granulation. The sensor data from the physical gestures are converted to control voltage (CV) to manipulate parameters in the modular setup. Creating this system was informed by my use of the MiM sensor bell for more than seven years. Given the extensive time I have spent working with the sensor component of the system, my awareness of how certain bodily movement creates particular gestural input is rather detailed. This understanding, combined with the knowledge gained through analyzing performance videos through an embodied perspective, helps me to make informed decisions in the process of designing the mapping that controls the intermedial translation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-14
DOI
https://doi.org/10.5281/zenodo.15028001
Primary Topic
Pesticide Exposure and Toxicity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

One Grain of Sound

Zenodo (CERN European Organization for Nuclear Research)
Pesticide Exposure and Toxicity
article

One Grain of Sound

article en

Abstract

This system was initially created in 2022 and focuses on non-pitched sound material from the clarinet, like tongue rams, key clicks, and different types of air sounds. The audio input from the clarinet is fed into a modular synthesizer where it is processed. The module mainly used in this patch is the Mutable Instruments Beads, a texture synthesizer working with granulation. The sensor data from the physical gestures are converted to control voltage (CV) to manipulate parameters in the modular setup. Creating this system was informed by my use of the MiM sensor bell for more than seven years. Given the extensive time I have spent working with the sensor component of the system, my awareness of how certain bodily movement creates particular gestural input is rather detailed. This understanding, combined with the knowledge gained through analyzing performance videos through an embodied perspective, helps me to make informed decisions in the process of designing the mapping that controls the intermedial translation.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 67%
Pesticide Exposure and Toxicity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

One Grain of Sound · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS