Category Archives: Research

Input And Function – Computer Music Composition Method

04/19/2026Compositions, Researchcomposition, computer musicjoowonpark

In the Tool and Variations post, I explained a composition method for electronic music.

Make an instrument
Make variations using the instrument
Organize the variations in a musical order

This method works only if I make ample variations with distinguishable yet similar traits. The production of such sounds involves structured, methodical repetition. Once I have a surplus of sounds, I use musical experience and training to select and sequence some of them.

I use four ways to produce variations from sound sources. The four are categorized by the quantity of inputs and the number of functions.

One input with many functions
Many inputs with one function
Many inputs with many functions
One input with one function

An input in the list above is a sound, an audio file, a sample, or any starting point sound. A function is a tool, a plug-in, a DSP patch, or any technique or idea that changes the input. An input processed by a function produces an output that is different yet similar to the input. The input->function->output relationship is fundamental in music technology. Borrowing terms from mathematics, the relationship is expressed with the symbol f(x), where x is an input, f is a function, and f(x) is an output.

x	f	f(x)
Guitar	Distortion pedal	Distorted guitar sound
Voice	Granular patch	Granularized voice
100	+ 200	300

The following sections provide a detailed explanation of the different methods for producing variations. Each section has diagrams, example music, and composition tips.

One Input With Many Functions

In this method, I limit the type of incoming sounds to one. I compensate for the lack of variety in the source with many plugins, SuperCollider patches, hardware processors, and other electronic transformations. The resulting outputs are different from the original, but listeners can hear that they are related to the source.

The one-input-many-functions model is often observed in interactive electronic music, if we think of an instrument as the input.

x: an instrument
f, g, h: effect processors that make a type of variation
f(x): resulting sound
g(x): resulting sound from another effect processor g
h(x): resulting sound from another effect processor h
i(x), j(x), k(x)…

In Armor+2 (2015) for clarinet and computer, a clarinetist plays on stage while the computer performer controls a SuperCollider patch off stage. All computer sounds except for one are a result of processing the clarinet sounds. The audience can hear that the computer parts are clarinet sounds with electronic timbral extensions – In other words, the computer parts sound like a clarinet, but they are not feasible without the help of electronics.

Many Inputs With One Function

At 0:35-1:00 of Pierre Schaeffer’s Bilude (1979), recordings of everyday objects alternate with the piano part. They sound musically related to the piano part because the electronics were processed under the same rules – edit the audio in sync with the piano part. We can frame this in the context of the Input and Function.

x, y, z: different types of inputs (audio recordings of paper, water, scissors, etc.)
f: function (edit according to the rhythm of the piano part)
f(x): resulting sound (paper sound in the rhythm of the piano part)
f(y): resulting sound (water sound in the rhythm of the piano part)
f(z): resulting sound (scissor sound in the rhythm of the piano part)
f(a), f(b), f(c)…

Applying a common rule or function adds reasons for seemingly random sounds to coexist in an electronic music composition. A shared function forms a shared identity that audiences can listen to and follow.

The identity can be a musical rule, like the ones in Bilude’s, or a shared tool. In Piano Triplets (2020), an EP collaboration with Starkey, all tracks use the same signal processing algorithm. Starkey provided samples made with piano, Buchla, bouncing ball, and synths. I processed them with the ISJS patch made with SuperCollider. The results of processing these samples with various presets were distinct enough to make three tracks.

Many inputs With Many Functions

One does not have to choose between one of the two methods mentioned above. In many cases, composers use multiple inputs and multiple functions to generate a vast array of variations.

The maximalist approach could be good if the composer is in control of the available sources. In Bilude, the electronic part at the beginning consists of processed piano sounds, which fall under the One Input With Many Functions category. It is followed by the Many Inputs With One Function section, as explained in the previous section. Then the piece mixes two methods in the more rhythmically freer latter half.

I use many input and function approaches for improvisation. When spontaneity is necessary, it is better to prepare an excess of sounds and tools than to run out of techniques. My electronic improvisation setup cannot play traditional scales or rhythms, so I make it up by bringing in many sound sources and using a SuperCollider patch with 10+ effects.

One Input With One Function

Is processing one input with one function musically useful, then? Yes, if the input or the function is exceptional, and if finding its value takes time. Many tracks in Fan Art (2023) feature a digital instrument presented within a single compositional idea. The minimalist approach gives the audience time to focus on details and subtle changes. My job as a creator of such music is to design an instrument that is interesting enough and then present its various states efficiently. Below is a list of some tracks in Fan Art in the context of input-function-output.

x	f	f(x)
Karplus string instrument	Harmonic progression of BWV 847	847 Twins
Organ-like instrument	Harmonic progression of Claire de Lune	End Credits
Loop	Rhythmic modulation of Samulnori	Ogum Walk

One Input With One Function can also yield unexpected, delightful sounds with feedback.

If a function f processes an input x, and the result f(x) is then processed again by the same function f, the newly iterated output is a new variation. The early and still excellent example is Alvin Lucier’s I Am Sitting In A Room (1969). The piece clearly states its input, function, and output at the beginning, yet the ending result is awestruck.

* Search for and read computer music composition methods and related articles by visiting my Zotero site: Academic Electronic Musician.

No-Input Mixer: Slides and Audio Examples

03/19/2026Research, Teachingcomposition, live electronic music, performancesjoowonpark

Here are the presentation materials I use for the no-input mixer workshops. A no-input mixer is a great introductory instrument for noise-based electronic music practice.

Google Slides: has links, audio samples, diagrams, etc.

Here’s another version of the tutorial with a bit of performance in the second half

Let me know if you want to invite me to run a workshop. I can bring the necessary gear for the hands-on experience!

Academic Electronic Musician: An Example

03/06/2026Computer Music Practice, Research, Teachingacademics, composition, performances, supercollider, teachingjoowonpark

Academic Electronic Musician: An Example is a collection of short articles on electronic music composition, performance, and presentation. The collection is useful for the following purposes:

Learn what a teaching electronic musician does (besides teaching)
Examine audio and scores for electronic music
Find examples of electronic music analysis and composition techniques
Get insights on electronic music practice in presentation, documentation, and education

Download and study SuperCollider compositions and tools

The articles and examples in the collection are my research outputs. There is a value in reviewing and connecting works by an individual, different from the value gained from comparing and analyzing works by many. Alvin Lucier’s Music 109: Notes on Experimental Music and Gordon Mumma’s Cybersonic Arts: Adventures in American New Music, for example, gave me insight into an aspiring artist’s electronic music practice spanning decades. I hope this collection of writings serves the same purpose, but from the perspective of a lesser-known yet currently practicing full-time artist.

Academic Electronic Musician is hosted in Zotero, a multiplatform tool for organizing research data. The site allowed me to organize blog posts like a search engine tailored to my work. The site, pictured above, is most useful and effective when using tags and related links. See the linked video for further explanation.

With its interactivity, Academic Electronic Musician may serve as supplementary material for electronic music classes and workshops. For example, if a class is learning about algorithmic composition, teachers can select the algorithmic and analysis tags to find examples with audio, code, and diagrams. Also note that the contents will grow as I compose, perform, and document more in the future.

But on the site, you may not find typical information in other electronic music textbooks, such as

Tags linking to sources created by people other than me
Detailed Information about pieces written by other people
Instructions on using a specific audio app

Numerous authors have written about these subjects with examples from well-known works.

Electronic music researchers and practitioners find new theories and practices that could be useful to others. But those findings must be documented and shared. This, the sharing of knowledge, is what academic musicians do best. I hope the writings in the Academic Electronic Musician serve as an example for those who want to study and experiment with uniquely electronic sound in a musical context.

Learning Aphasia

02/20/2026Influences, Performances, Research, Teachingaphasiajoowonpark

Mark Applebaum’s Aphasia (2009) for solo performer is a difficult but rewarding piece. I have been intermittently practicing it since 2021, but I have yet to reach a satisfactory level. Knowing that my run of the piece today is better than in any other day, it gives me joy and energy to keep practicing. I wanted to share that delight in the last month’s Wayne State Faculty Recital Series. Despite many mistakes, the performance was received well by students and guests. Aphasia attracts and affects audiences and performers like no other electronic pieces I know. I can think of two, perhaps very personal, reasons.

Soulslike

Aphasia is an Elden Ring-equivalent of electroacoustic music. The unforgiving difficulty is part of the fun. In practicing Aphasia, I had innumerable “YOU DIED” moments. Learning small sections required focus and discipline, and still, the chance of succeeding was slim. But like a soulslike game, the process of achieving goals was fun. I understood more about the piece’s structural relationships, sound design techniques, and choreographic thoughts through repeated readings, listening, and failing.

When I memorized the piece, I felt joy, similar to the moment I beat the final boss in Elden Ring after hundreds of hours of playtime. I learned to work consistently to achieve seemingly impossible goals. Musicians, of course, acquire this trait, but I needed a reminder and reinforcement. Practicing Aphasia during the COVID quarantine semesters did that job.

The audience watching Aphasia immediately gets its pleasant-but-difficult aspect. It’s fun but serious. It’s confusing, but there’s the order. And it’s inviting – instead of “I can’t do what I see on stage,” the audience may feel “I want to try it one day.” Aphasia seems to be an excellent introduction to studying the performance aspect of electronic music. Once a person has experience of doing Aphasia, watching the performance has a new meaning. It’s like watching a PVP match when knowing the mechanics and insights of a video game.

Notation

Aphasia is a fully-notated piece composed in 2009. Hundreds of performers, mainly percussionists, played it in the 2010s. In contrast to many graphic notations, the score is not to be freely interpreted. There is a clear notion of a mistake when the performer misses the timing or makes a wrong hand gesture. This aesthetics contrasts with my solo performance practice in the 2010’s, in which I freely improvised on stage with found objects, MIDI controllers, and found objects. The improvisatory nature of my performance made the audience expect the unexpected at the expense of irreplicability – I was the only person who could perform my solo electroacoustic works. In the composer of Aphasia’s words, I was the best and the worst performer of my piece.

While only the improviser could perform their pieces, hundreds of percussionists performed Aphasia as the composer intended. Aphasia’s technology barrier is low, and the piece is a hit in every concert. When done correctly, the piece is indistinguishable from many high-tech compositions using motion sensors or controllers. Performers can make such an experience by studying notation, like many other pieces that they have studied previously.

Aphasia taught me the effectiveness of low technology and low dependence on improvisational skill. With well-written notation, such a composition travels far, invites more performers, and lasts long. Many mixed pieces (i.e., those with an instrument and prerecorded electronics) have the same strength, but Aphasia stands out by featuring the most accessible instrument. My recent electronic ensemble pieces reflect this approach. They are built to be transferable, non-virtuostic, and have low technological/financial barriers.

Summary

Aphasia reinforces the music fundamentals I often forget – practicing and overcoming challenges is an essential part of musicianship, and great notation makes performers change and improve. I forgot these, perhaps as a byproduct of pursuing the new and the cutting-edge as a profession.

Learning Aphasia also rekindled my role as a student. To create and teach, I need to study and practice. Consistently and continuously. The result of doing so does not have to be perfect, but sharing and explaining what I experienced is what teacher-artists do. Knowing me, I will probably forget the lessons. When that happens, I will relearn Aphasia (and/or play Elden Ring) to remember it again.

Solo Electronic Improvisation

01/07/2026Computer Music Practice, Performances, Researchcomputer music, performances, supercolliderjoowonpark

Since 2009, I have been presenting a solo set of live electronic music. Among the many electronic performance techniques, I specialize in creating electronic sounds on stage without pre-recorded samples. I use a combination of digital effect processors coded with SuperCollider to improvise a uniquely electronic soundscape in concerts and recordings. For more than a decade, I have marketed myself as an expert in that specific style. It is represented as a yellow rectangle in the diagram below.

The categorization is not meaningful to anyone else, but it was a useful research goal for me in the 2010s. I share three representative pieces of my solo electronic improvisation for listening and analysis purposes.

Three Examples

100 Strange Sounds (2012-2014) is a set of one hundred short video recordings featuring my live electronic music techniques. Each piece pairs a sound-making object with my SuperCollider code that processes its sound. I invite viewers to notice and enjoy the unexpected relationship between what they see and what they hear. For example, the sound of a cabbage becomes something else with a bunch of effect processors in 100 Strange Sounds #77.

Large Intestine (2013) is a piece I made after 100 Strange Sounds #42. As described in the blog on style analysis, the no-input mixer improvisation enhanced with SuperCollider has been my favorite electronic instrument for more than a decade. Large Intestine, as the title suggests, epitomizes my interest in noise, digital signal processing, and improvisation. I plan to play this work in as many concerts as possible in the future.

Touch (2014) is my kitchen-sink piece that pairs multiple sound objects with multiple effects. It’s a summary of 100 Strange Sounds, in which I bring random objects on stage and improvise the combination and sequence of sounds. The piece opened many doors to career opportunities in the 2010s as an electronic music improviser. The techniques and technologies I learned in performing and refining Touch became a source for future non-improvisational compositions for electronic ensembles.

Technology

All three pieces mentioned above use a variation of a single SuperCollider patch, available for download at this link. And this linked PDF explains the hardware and software setup to perform the pieces (warning: it is a little outdated).

When I run the patch, it creates a GUI with multiple buttons that trigger customized effects. I control the number and timing of the effects’ on/off states with a mouse click – No MIDI controllers or control surfaces. A few clicks, probably unnoticed by the audience, are enough because I wanted the listeners to focus on the interaction I have with the non-electronic objects on the stage.

As for the hardware, I use a couple of microphones for Touch, one audio interface, and a laptop. This article explains the gear I used over the past 11 years.

Technique

Like other improvisations, the key technique in performing solo live electronic music is listening. I listen for variations that the computer part adds to the acoustic instruments, then respond with another instrument or effects. Because I cannot play a scale or harmony with the instrument (like cabbage), the listen-and-react decisions are often non-musical and raw. “The current sound is long, so I’ll play short sounds next.” “I will go from a simple to a complex texture.” “The sound is very high in pitch. I’ll complement it with a very low rumble.” I also ask questions and try to come up with the best answer on stage. “What happens if I granularize the chattering teeth sound?” “The plastic block sounds harsh. Can I make it harsher?” “What is common between a slinky and a coin sound?”

Free improvisation focusing on reactions and questions is fun, but it can quickly lose control of the length and form. So I plan a specific gesture or sound combination for transitions. The Extension and Connection blog linked earlier has such an example in Touch.

Annecdote

More than fifteen years of experience in improvising with live electronics forms the foundation of my musicianship. I identified myself as a composer after earning a PhD in composition in 2008, but it did not lead to a gig or collaborations when I moved to Philadelphia for my first job as a music technology professor. The dire situation led me to develop a solo set I can prepare and present quickly in any situation. The strategic change, fortunately, worked, giving me ample opportunity to refine my performance and improvisation techniques.

These days, I am comfortable identifying myself as a composer-performer of electronic music. My sound may not be fresh or cutting-edge at this point, but I think I have a bit more to contribute to the current solo setup. Perhaps the contribution is a documentation and theorization. Perhaps it is just one more new piece!

More electronic music composition/performance/practice articles are found at the Computer Music Practice project.