Michael Gogins | Garden of Algorithms

Go To Artist Page

Recommended if You Like
Brian Eno Michael McNabb Paul Lansky

Album Links
ruccas.org Tradebit PayPlay Apple iTunes Bitmunk GreatIndieMusic GroupieTunes

More Artists From
United States - NY - New York City

Other Genres You Will Love
Electronic: Experimental Electronic: Soundscapes
There are no items in your wishlist.

Garden of Algorithms

by Michael Gogins

This generative music was composed by writing computer programs, and rendered into sound using Csound.
Genre: Electronic: Experimental
Release Date: 

We'll ship when it's back in stock

Order now and we'll ship when it's back in stock, or enter your email below to be notified when it's back in stock.
Sign up for the CD Baby Newsletter
Your email address will not be sold for any reason.
Continue Shopping
just a few left.
order now!
Share to Google +1

Tracks

Available as MP3, MP3 320, and FLAC files.

To listen to tracks you will need to either update your browser to a recent version or update your Flash plugin.

Sorry, there has been a problem playing the clip.

  song title
share
time
download
1. Cloud Strata
Share this song!
X
10:21 $0.99
2. Triptych
Share this song!
X
3:32 $0.99
3. Dark Tower
Share this song!
X
5:13 $0.99
4. Bending Arches
Share this song!
X
2:43 $0.99
5. Broken Differential
Share this song!
X
6:48 $0.99
6. 970401e
Share this song!
X
3:58 $0.99
7. Chaotic Squares
Share this song!
X
4:05 $0.99
8. LinMuse21
Share this song!
X
6:10 $0.99
9. Hex
Share this song!
X
8:02 $0.99
10. MC 3
Share this song!
X
5:02 $0.99
11. Piano Fall
Share this song!
X
7:27 $0.99
12. Three Trees
Share this song!
X
5:15 $0.99
preview all songs

ABOUT THIS ALBUM


Album Notes
I am an (almost) exclusively algorithmic composer. I find that algorithmic composition amplifies my musical imagination and contributes to formal unity. It opens up worlds of musical possibility for me that are beyond the power of my unassisted imagination. I am particularly interested in parametric and evolutionary composition. I am also trying to develop more efficient and recursive representations of music that encode musical craft without at the same time imposing a style.

I am interested (almost) solely in absolute music: instrumental music designed for undistracted listening. If I could find software that can sing passably, I would try "vocal" music since I have a great love of poetry.

I use Csound (almost) exclusively for rendering my pieces. Needless to say, I do not work in real time nor do I improvise, even though my interest in musical composition arose out of free improvisation on the flute.

I have become a contributor to the development of Csound 5, the next version of Csound, in order to improve Csound's support for my approach to composition. In particular, I have added Python scripting to Csound, as well as classes for various techniques of algorithmic composition.

These include imported MIDI sequences, loops and hockets, Lindenmayer systems, chaotic dynamical systems, iterated function systems, and the translation of images into both sounds (using additive synthesis) and scores (by extracting features).


Reviews


to write a review

Anthony Kozar

Some of the best algorithmic music that I have heard.
Algorithmic music is still a fairly wide open field. The genre has been little explored (or probably more accurately, little explored _well_), and the results often leave me feeling unsatisfied. Either the music doesn't strike me as "musical" (eg. too random or non-melodic), or the computer instruments sound dull and lifeless, etc. The difficulty seems to be in coming up with an appropriate and interesting mapping from the mathematical process (the algorithm) to the parameter space of the music.

"Garden of Algorithms" by Michael Gogins however is evidence that algorithmic composition can be musical and satisfying. The composer explores a wide variety of algorithmic source material and does a good job of creating convincing music with this material. Most of the pieces use engaging electronic sounds with enough nuance and variety in articulation to sustain listening throughout the piece. And many of the pieces have clearly audible motifs that are repeated and developed to their end. These features give Michael's music the cohesiveness of music "composed by hand" that is so often lacking in algorithmic music.

"Broken Differential" is a good example that has a driving and rhythmic motif that is repeated and layered in complex canons that often explore polyrhythmic relationships. Its phrases wax and wane as if played by good performers and the music appropriately builds in volume as it builds in complexity. "LinMuse21" is another favorite of mine with a nice gentle and melodic line that is subjected to many intervalic variations. The changes in the texture of the accompaniment and the modal shifts in the melody keep the piece from becoming too static.

In summation, "Garden of Algorithms" is a compelling collection of some of the best algorithmic computer music that I have heard.