Author Archives: John CS Keston

About John CS Keston

John CS Keston is an award winning transdisciplinary artist reimagining how music, video art, and computer science intersect. His work both questions and embraces his backgrounds in music technology, software development, and improvisation leading him toward unconventional compositions that convey a spirit of discovery and exploration through the use of graphic scores, chance and generative techniques, analog and digital synthesis, experimental sound design, signal processing, and acoustic piano. Performers are empowered to use their phonomnesis, or sonic imaginations, while contributing to his collaborative work. Originally from the United Kingdom, John currently resides in Minneapolis, Minnesota where he is a professor of Digital Media Arts at the University of St Thomas. He founded the sound design resource, AudioCookbook.org, where you will find articles and documentation about his projects and research. John has spoken, performed, or exhibited original work at New Interfaces for Musical Expression (NIME 2022), the International Computer Music Conference (ICMC 2022), the International Digital Media Arts Conference (iDMAa 2022), International Sound in Science Technology and the Arts (ISSTA 2017-2019), Northern Spark (2011-2017), the Weisman Art Museum, the Montreal Jazz Festival, the Walker Art Center, the Minnesota Institute of Art, the Eyeo Festival, INST-INT, Echofluxx (Prague), and Moogfest. He produced and performed in the piece Instant Cinema: Teleportation Platform X, a featured project at Northern Spark 2013. He composed and performed the music for In Habit: Life in Patterns (2012) and Words to Dead Lips (2011) in collaboration with the dance company Aniccha Arts. In 2017 he was commissioned by the Walker Art Center to compose music for former Merce Cunningham dancers during the Common Time performance series. His music appears in The Jeffrey Dahmer Files (2012) and he composed the music for the short Familiar Pavement (2015). He has appeared on more than a dozen albums including two solo albums on UnearthedMusic.com.

Herding Random Behaviors

Posted on by
Reply

After playing Precambrian Resonance for a few people and explaining how the arpeggiator was creating a randomness to the output I was asked how that randomness made it sound different from previous playback. This was easy for me to imagine since I had heard it rendered several different ways, but difficult to explain. Therefore I have re-rendered the piece to illustrate how it changes.

This brings up an issue that I have encountered on several occasions. When audio processing creates some sort of randomness in a mix, how can you get exactly what you want? What if after you export the audio there’s some chunk of randomized audio that just doesn’t quite work?

My solution is to render the track that has the random processing on it several times. For Precambrian Resonance 0.2 I rendered the processing eleven times. After that I’ll listen and compare the renders, or if I hear one that I like during the rendering, I’ll just choose it. Ableton Live makes this easy with the “Freeze Track” option that essentially renders the track while allowing you continue making adjustments.

Sometimes it is not that easy. I have encountered situations where version after version of the randomized processing doesn’t quite fit. At this stage what I do is carefully listen to the audio for phrases that have something interesting going on. The next step is to sequence the selected phrases into a complete track, effectively herding the random behaviors into what I’m after. I suppose that this is similar to using genetic algorithms to hybridize the audio in a semi-manual way.

Precambrian Resonance 0.2

Precambrian Resonance

Posted on by
5

Remember those Precambrian rock noises from North Shore Rocks? Well for this piece I loaded the unprocessed recording of those rocks into a simple sampling plugin, then arpeggiated the sampler randomly within a scale. This created a cloud of stumbling chaotic rhythms that changes every time it is played back in the software.

I listened to this for a long while, fascinated by it, then decided to run it all through the Resonator in Ableton Live. This processor produces a chord of resonant pitches that react to the signal sent to the device; in this case, my falling rock sample. Since the rocks had no discernible pitches, this instantly created a musical bed of sound. I tuned the resonance to a C minor 9 chord and then automated the tuning of a fifth pitch to create a melody. A little bit more fussing about, and this is what I got.

Precambrian Resonance

Unity Status

Posted on by
1

Technically this post and the last have been more than one sound, so perhaps I should rename the category “one sound or more every day”. Anyway, I just made a rough mix of this musical sketch (not quite a complete piece yet) and thought it could serve as today’s sound.

The image is a partial screen grab of one of the virtual instruments I used. The chordal and melodic tones and the bass are all played and programmed by me, but the rest of it is sampled from an unnamed jazz recording, so although the samples are heavily manipulated this composition is unlikely to go much further than this.

Unity Status

Piano and Kalimba

Posted on by
1

Every so often I think it might be a good idea to record using acoustic instruments I have lying around my studio. This time I started with a little loop of syncopated piano. On top of that I added a very simple melody with a kalimba, or thumb piano. There’s no processing other than normalization to -3db to give the levels a little boost.

I have dozens of these tiny pieces, and once in a great while they actually get finished as tracks, but the vast majority of them, like this example, sit in dusty folders on backup hard drives. Most of the time that is exactly where they belong, but I do review them occasionally to get ideas or see if there’s anything worth producing.

Piano meets Kalimba

Bit Reduction

Posted on by
5

This drum loop has been processed by reducing the bit depth and down-sampling the clip until very little of it is reminiscent of it’s original state. As you can see in the image, the waveform has been reduced to a wide pulse that sounds very distorted (you might want to start at low volume). The top of the image represents a short section of the original audio, while the bottom is the processed version.

The bit depth was reduced to two, which allows for four possible positions for the amplitude of the waveform. Two above zero and two below zero. There are no zero crossings that aren’t straight lines, therefore the output sounds very similar to audio that has been badly clipped, but in my ears this sort of distortion has more charm than just clipping the waveform. The only other processing involved is automated pitch shifting from down four octaves up to its original pitch by about seven seconds into the audio. Here is where it sounds closest to it original form. Its stays there until about nine seconds in and then shifts back down minus forty eight semi-tones until it ends after almost twenty seconds.

redux