Device Details

Device Overview

Name/Version: Snap 1.0
Author: OspreyInstruments  
Description: Snap! is a snare drum synthesizer, inspired by Venus Theory's video on snare drum modelling via FM Synthesis:
www.youtube.com/watch

It features a full FM routing matrix (including self-modulation feedback loops), with all operator parameters (frequency ratio, matrix row, decay envelope) displayed inline and one a single page. There is a second tab that displays the noise generators that make up the transient and high-frequency components of the sound.

The synth does not respond to midi note pitch information, rather the fundamental frequency / note pitch can be edited via interface parameters. The frequency of each operator can be set with ratio parameters that relate their frequency to be a multiple of the fundamental frequency, allowing it to scale nicely.

There are three included effects: overdrive, compression, and a transient designer. The latter two require the installation of the free Kilohearts Essential Bundle to work (or for the device to work at all for that matter). I would have loved to design these from scratch, but I haven't shelled out for a gen~ licence yet (required for sample-accurate patching). The vst3 versions of the plugins can be downloaded here:
kilohearts.com/products/kilohearts_essentials

Video Demo:
https://youtu.be/nrTUozjF5n4
 

Device Details

Tags synth
Live Version Used: 10.1.18
Max Version Used: 8.1.5
Date Added: Jan 22 2023 01:11:56
Date Last Updated: Jan 22 2023 01:12:20
Device Type: instrument_device
Download URL (report link) https://ko-fi.com/s/c678e346c8
License (more info): None


Comments

Ohmy it's an amazing work. Spent a few minutes with it and already some crazy tines going out. The matrix is dope too.
Would love to have a randomise button for the matrix.

Thanks for the comment, telkmx! I'm glad you like it.

A randomise button would be a really nice feature, but I shutter at how much work that would be to implement! haha (although there may be some methods for working with the matrix objects that I am not aware of).

The probability would have to be weighted at the lower end of the value structure too, especially on for the diagonal (feedback) cells. I'll have to think this over and see if I can come up with an efficient way to structure it. :)

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