Csound’s Brain: A Real-Time EEG to Harmony, Melody, and Music System for Interactive Performance
Shiying Chen, and Richard Boulanger
Proceedings of the International Conference on New Interfaces for Musical Expression
- Year: 2026
- Location: London, United Kingdom
- Track: paper
- Pages: 1344–1350
- Article Number: 169
- DOI: 10.5281/zenodo.20784511 (Link to paper and supplementary files)
- PDF Link
Abstract
This paper presents a real-time brain-computer interface (BCI) system that moves beyond passive data sonification to prioritize intentional musical control. Developed as a collaborative dialogue between a student researcher and a legacy practitioner, the system maps EEG data from a Muse S Athena headband to melodic and harmonic parameters within Csound. While many BCI systems focus on autonomous generation, our contribution lies in a hybrid control model that uses a sample-and-hold mechanism to ’tame’ physiological ’jitter’ into a stable, SATB harmonic framework. We demonstrate that this ’Bio-Interactive’ approach allows the performer to balance spontaneous internal states with traditional musical intentionality. Through a series of performances - including multi-generational duets - we illustrate how ’Open Source Pedagogy’ and mapping transparency can transform raw brainwave data into a deeply personal and expressive musical instrument.
Citation
Shiying Chen, and Richard Boulanger. 2026. Csound’s Brain: A Real-Time EEG to Harmony, Melody, and Music System for Interactive Performance. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.20784511 [PDF]
BibTeX Entry
@inproceedings{nime2026_169,
abstract = {This paper presents a real-time brain-computer interface (BCI) system that moves beyond passive data sonification to prioritize intentional musical control. Developed as a collaborative dialogue between a student researcher and a legacy practitioner, the system maps EEG data from a Muse S Athena headband to melodic and harmonic parameters within Csound. While many BCI systems focus on autonomous generation, our contribution lies in a hybrid control model that uses a sample-and-hold mechanism to ’tame’ physiological ’jitter’ into a stable, SATB harmonic framework. We demonstrate that this ’Bio-Interactive’ approach allows the performer to balance spontaneous internal states with traditional musical intentionality. Through a series of performances - including multi-generational duets - we illustrate how ’Open Source Pedagogy’ and mapping transparency can transform raw brainwave data into a deeply personal and expressive musical instrument.},
address = {London, United Kingdom},
articleno = {169},
author = {Shiying Chen and Richard Boulanger},
booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
doi = {10.5281/zenodo.20784511},
editor = {Benedict Gaster and João Tragtenberg and Anna Xambó and Tom Mitchell},
issn = {2220-4806},
month = {June},
note = {},
numpages = {7},
pages = {1344--1350},
title = {Csound’s Brain: A Real-Time EEG to Harmony, Melody, and Music System for Interactive Performance},
track = {paper},
url = {http://nime.org/proceedings/2026/nime2026_169.pdf},
year = {2026}
}