Modular synthesis makes heavy use of different kinds of randomness (stepped, smooth, etc) for MANY different reasons… Although the most popular modules only sell in the amount of maybe the low 5 figures, the modular synth fan base has disposable income and gets VERY excited about adding new modules to their racks, especially ones that are based on esoteric scientific research. This is just a fact of the market right now.
Because of this, if we had a psychoresponsive device with high bandwidth but a small power footprint, that could be smd soldered onto pcbs and turned into modules fairly easily, it might be possible to bring MMI to a niche consumer market…
I am just imagining a module powered by a QRNG that outputs triggers or control voltage based on the types of randomness provided by this hypothetical micro QRNG suitable for embedded projects. You could use control voltage or a knob to adjust the bias, and other variables that affect the randomness.
Unlike other applications of randomness, I truly believe that modular synth players would be more open minded towards the application of MMI, as many of them already feel connected to their rigs, and being that there is a large viral ecosystem on youtube of modular players, the virality of the module being so unique would get it to sell simply because most modular synthesists do whatever they have to do to put their hands on a new module.
Controlling the chaotic voltage of a module with intent would be cool because, you could possibly influence transposition changes or subtle changes in melody in key with a quantizer.
There are also a lot things that can be done with random gates ,and self patching to have the randomness affect the module itself, etc.
When I originally thought about the subject, scott had this to say:
To use MMI in place of the builtin random generator requires understanding the function of the random numbers in the module. In addition the MMI generator/processing should provide the maximum effect size so the result would be noticeable. This would likely be a continuous (not initiated) form of MMI, which is the hardest to get a large effect size from. Just providing random numbers from ANU’s online source would hardly seem sufficient to achieve noticeable, real-time effects.
As always with MMI systems, real-world testing of various designs is necessary to determine which provides the best (the most interesting, engaging or pleasing) results.
Let’s take a look at one of the most popular RNG modules, the
So, years later, I am starting to understand what he meant by that, and seeing that it indeed would be possible if enough work was put into the correct project.
Scott also had this to say:
The PrdCore.dll (not quite up to date yet) already uses the PCQNG software-enabled MMI generator (on Intel compatible PCs) that could provide a psycho-responsive (MindEnabled) output. Not the top of the line MMI generator, but readily available and could be at little to no cost. Data could be processed in a simple algorithm in the host computer and output an analog signal through a speaker output.
There are a few digital simulations of modular synths available for free, so this should actually be testable with some tinkering using VCV rack
Anyway I know scott has been focused on consumer products that use MMI, and I think the synthesis crowd (which is growing, and dedicated, but small) is a great test market for if users would employ MMI tech, as many of them are hacker and makers themselves.
I know someone already made a quantum random source of CV module using Zener diodes, so I am betting (especially with this zero energy switch type thing) this would be a viable product, if production volume was high enough.
To give an example, lets compare the Make Noise Wogglebug.
Integrating MMI means users could potentially influence the module’s parameters directly through their mental states or focus, such as adjusting randomness intensity or selecting modulation patterns without physical interaction. Imagine molding soundscapes or rhythm textures simply by shifting your concentration or relaxation levels. The incorporation of a QRNG would elevate the module’s capability to produce truly unpredictable and superior-quality random voltages. The inherent indeterminacy of quantum randomness provides a layer of complexity and uniqueness in the modulation signals that classical randomness can’t achieve, enriching the module’s ability to generate intricate, evolving soundscapes.
The module could also adapt its modulation patterns based on the user’s emotional or cognitive states detected through MMI, creating a direct link between the musician’s internal state and the sonic output. This adaptive behavior would allow for highly personalized performances and compositions, where, for instance, a calm state might induce ambient modulations, while a focused state could trigger rhythmic patterns. Moreover, by reading inputs from multiple users, an MMI-enhanced module could enable collaborative sound creation, turning audience participation into a direct influence on the sonic result, opening new avenues for performance art.
The introduction of machine learning could enable the module to adjust its response patterns over time, aligning closer with the user’s preferences and typical mental states, thus enhancing usability and reducing the learning curve. This would not only make the module more intuitive but also minimize the need for physical controls, leading to a cleaner, more streamlined design that could be more accessible to users with physical disabilities or those seeking a hands-free interaction with their synthesizer.
The integration of Mind-Machine Interaction (MMI) with modular synthesis offers a fascinating new way to create music, directly linking thought to sound. This approach not only captivates users by demonstrating how our mental states can shape music but also educates them about MMI’s potential. Seeing thoughts and emotions translate into sound in real-time can spark curiosity and inspire further exploration into the science behind MMI. This immersive experience demystifies MMI technology, making its complex principles accessible and engaging, and showcases its practical applications in an artistic context.