Stranger Synths Have Happened
The hit show Stranger Things gained widespread popularity for its creepy storylines, captivating characters, and wicked-cool soundtrack. Devised by the minds of Kyle Dixon and Michael Stein, that warm, punchy, and emotive music relied heavily on the sonic prowess of synthesizers. Now, you can use those same sonic tools in your own music with the UJAM Usynth Stranger software synthesizer. Analog synth collector and world-renowned sound designer Alessandro Cardinale created the Usynth Stranger and integrated direct samples from his vintage library to fuel the textures and soundscapes. Sweetwater invites you to immerse yourself in a sonic universe inspired by Stranger Things, but beware — things might get a little . . . strange.
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Crank the synth action to 11
Sweetwater has heard from vintage analog junkies and modern synth heads alike, and each group has found much to enjoy in the UJAM Usynth Stranger. It includes arps, basses, leads, pads, strings, delay and reverb units, and more. Users can craft warm, retro, saturated synth sounds well suited to ambient soundscapes, electronic music, film scores, and video game soundtracks. The interface’s design makes it easy for those with no synth knowledge to make their own sonic creations, and synth users will appreciate the powerful synthesizer engine that offers virtual analog, FM, wavetable, and multi-sample-based synthesis. Usynth Stranger provides a unique way to experiment and sculpt sound. Dive in — you just might find your world turned upside down.
UJAM Usynth Stranger Features:
- Enjoy vintage synth sounds like those from the Stranger Things fictional series
- Includes arps, atmos, basses, brass, keys, leads, pads, picked, poly, sequences, and strings
- Straightforward interface and powerful synthesizer engine make it easy for novice synthesists to use
- Vintage analog synths sampled from Alessandro Cardinale’s impressive library
- Heavily incorporates warm, retro, saturated synth sounds
- Explore virtual analog, FM, wavetable, and multi-sample-based synthesis