In The Greenhouse with Tristan Arp

The Human Pitch co-founder picks the music that transports him outside...

In The Greenhouse with Tristan Arp

The Human Pitch co-founder picks the music that transports him outside...

New York multimedia artist Tristan Arp has a penchant for the rhythmic and percussive. His urge to morph and mould sound into new and exciting forms is illustrated on his Pipeline and Plexi EPs, released via Human Pitch, the label he co-runs with Branson Sanchez aka Simisea. 

Now he's gearing up for the release of his debut album Suggested Forms on 14th February, which brings together several of the tracks from his previous EPs, as well as three twisted reworks from Beta Librae, Machine Woman and Kelman Duran.

Ahead of the release, with green spaces in mind, he selects the music that transports him outdoors...

I’m super interested in biomimicry as a creative approach to sound design. Plantlife and natural environments bring a lot of meaning to my life, which carries through to solo work and my collaborative project Asa Tone. Sometimes the dialog is abstract––how can I make my Moog sound like a little forest creature?––and sometimes it’s more physical/direct. Bamboo for example is one my favorite materials, and I like to create new virtual instruments from samples I collect from resonant sources like this. One of the beauties of the laptop, like acoustic instruments, is that it allows me to work outdoors. The following tracks take me outside when I can’t be, and for this I’m grateful.


Buy Suggested Forms. Photo credit: Eric Lopez.

 

Kilchhofer - Lefu

Modular wizard Kilchhofer builds lush forest-like zones throughout my favorite record of his, Dersu, and the opening track “Lefu” sets the foundation with acoustic percussion and field recordings wrapped around his analog synthesis. It’s an intricate, free-flowing web, with a looseness that’s not easy to achieve in electronic music. What’s fun is how it can become difficult to distinguish bird calls from his modular chirps and the wooden percussion from synthetic models.

COMMENTS