Acoustic Interfaces
Instructor: Clemens Wegener
Credits: 6 ECTS, 3 SWS

Project by Joel Schaefer

PrototypePrototypePrototypePrototype


In the course "Acoustic Interfaces" we wrote a C++ Machine-Learning library based on a K-Clustering Algorithm. It's purpose is to classify Microphone Inputs into different frequency based classes. After this cluster (training) process the algorithm is able to classify similiar microphone input in realtime. The algorithm is running on a teensy 4.0 with an audio shield.

I have to say, that it was quite hard for me to come up with an idea for the creative, musical use of this technique. As i dont wanted to implement this algorithm for the obvious purpose of sound detection issues, i came up with a more abstract idea of use.

My idea was a intention based gesture/timbre detection through the piezo microphone input. This input is expressed through Midi Notes and muscial scales. For example the aggresive touch on the interface surface should express in a, somehow, corresponding sequence of notes (or melody).

So the project i came up with is basically a sequencer.

In thinking about what kind of sequencer i wanted to build, i was very inspired by the sequencer eurorack-module by "Make Noise", which is called "Rene´ ". It's a sequencer based on motion inside a cartesian coordinate system. What i found interesting in this is the fact that this way of sequencing dont have one main tempo which is driving the sequences, but instead more tempos (depending on the amount of dimensions). Each tempo or clock is driving the sequences only on one axis. That means when clocks (or gates) of different speeds (or ryhtms) are fed into the sequencer, the outcoming sequence can be very diverse. With an normal( 1-dimensional) sequencer, such or similiar results from only one sequence would need modulation of pitch values or radomnization in the rhythm patterns.

So i decided to design my own little grid-based sequencer. Im calling it grid-based because it only has 2 dimensions. My plan was to build it in a hardware format, with analog parts. That means i didnt wanted to build a Midi-Sequencer but instead a digital CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]]/Gate-sequencer for analog gear.




So we we decided to use an Arduino Uno for our project. The starting point was this great, creative common released, open hardware device we found on github.

https://github.com/eegsynth/eegsynth/tree/master/hardware/usb2cvgate_4channel

Its designed by Robert Oostenveld for eegsynth.org. This is the original Schematic:

Eegsynthschematics.png

It converts digital data from the arduino (connected through SDI) over an external 12Bit DAC to 0-4V and scales the range over an OpAmp to 0-10V. This device is able to do this on 4 channels, for us 2 was enough, so we cutted away the half of the original circuit. Also we skipped the 4 Gate Outputs. So what we were having then was basically one 12Bit DAC (MCP4822), one OpAmp (TL072) and one DC-DC Converter (SIM 0512D) and the needed resitors and capacitors which can be seen in the original schematic. The only thing that was missing for us in terms of Data Conversion was CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]]-Inputs. So an ADC was needed. As the resolution of the arduino 10Bit ADC's was to low for us, we buyed a 16Bit 4ch ADC. The ADS1115 Breakout Board by Adafruit. We connected this device also over SDI to the arduino. We installed 2 more Audio-Jacks for the input signals, set a little voltage divider with 100k resistors behind that Jack to scale the incoming Voltage to an acceptable Level for the ADC(max 5.5V). For sure this isn't the best way to do it, especially without an extra OpAmp as buffer and diode based protection circuit, but for this prototype it worked fine for us.

So now, when we got the cv in- and outputs working it was time to get joystick and potentiometers. We just buyed a cheap Joystick and some 10k Potentiometers. In the first place we were disappointed by the Joystick. The accuracy was extremely low and the spring inside the joystick made it even worse for the usage of accurate voltage generation. So we decided to use 2 channels of the external 16 Bit ADC for the YX-Axis inputs for making the joystick more accurate. And we desoldered the Joystick Circuit, drilled a whole inside and took out the spring. Luckily we orded a 5-Pack of Joysticks instead of just one, because 2 Joysticks got broken in this procedure. The third one was working perfect.


Joystickhack.jpeg

Then we decided to use the whole potential the arduino is giving us with its 6 internal ADC's and connected 4 Knob Potentiometers and 2 Slider Potentiometers to it. These should control different values of our functions on the arduino. Though we didn't had much functions written yet, we knew we would make different modes. So we got some LEDLight-emitting diode's (1 blue, 3 red) for indicating different modes and also we took a switch button breakout board for changing modes. Another switch button we had available through the joystick itself, because this one had a push function.

Hardware fully set up, now it's time for the digtal stuff. Our basic idea responds into the simple function to express the XY-Axis of the Joystick as 2 Values that are linearly mapped onto Out CV1 and Out CV2. So one axis gave us values between 0 and ~25000, which we simply mapped onto 0-10V. The following was to make a function which is summing the two axis into one value. We simply wrote a average function which, when activated, sums the the two Joystick values and maps them once again to 0-10V. We called this "Sum-Mode" and its accesible through pushing the joystick button one time. The State of these two Modes is indicated through the blue LEDLight-emitting diode (on - SumMode [Out CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] 1 = Out CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] 2] , off - NormalMode [Out CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] 1 = X-Axis ; Out CV2 = Y-Axis]). So the second CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] Output becomes a copy of the first when the SumMode is active. So this Mode could also be used as a multiple. To not get users confused its important to say that these are global modi, which both work in the same way, no matter which of the following (local) modes is chosen.

These are the Local Modes so far:
1. Sine LFO
2. Sample and Hold internal
3. Simplex Noise
4. Sample and Hold external


1
LFOSINE
2
intSH
3
Simplex
4
extSH

The idea of these modes is to mix the voltage generated by the Joystick with different functions. Or, in other words, to make the joystick controlling an offset to different functions. Of course, if the Joystick is placed in the left-down corner the offset value is 0 on both axis'. That means if the amount value in any Mode is completely up, the output voltage is completely generated by the function.


Conclusion
This circuit is really a raw prototype, so there are many things to mention.

On the hardware side we want to add an analog offset for the output Voltages. We think that would make sense because then we would be able to fade between the range between 0V to 10V and -5V to 5V, which definetely is useful for the use in modular systems. But as the interface got already pretty packed up with potentiometers and (digital) offset functionalities, we we will implement this feature with a simple switch to change the output range between bipolar and unipolar.

Its extremely important to add a voltage limiting circuit with diodes to both CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]]/Clock Inputs because right now a voltage over 11V or below -1V could damage the ADC board. Though signals over 10V are pretty uncommon in modular synthesizers and eurorack, bipolar signals from -5V to 5V or even -10V to 10V are not. So for the harmless and free use of the CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] input there need to be such circuit. As well as an additional OpAmp Buffer for those inputs.

Then there need to be functionality added to the CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] Input, because right now its only possible to use 1 Input as Gate Input for clocking the Sample Hold external Mode. But there are many uses for such Input. One could just be voltage conversion, so when the device is connected over usb, the, now digital data could be send via serial connection to other software as "Processing". Another way would be to implement OSC[[OSC|Open Sound Control]] protocol to the code and make this incoming Voltage available as OSC[[OSC|Open Sound Control]] data for the reuse by other software applications. Another way to use the CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] input would be the modulation of internal parameters. For example the rate of the Sine LFO in that Mode(1) or the bitReduction Amount Parameter of the Simplex Noise Mode(3). Or, simply to add an offset by the joystick to an incoming signal.

At this point it's right to mention that the parts we choose for our circuit are not really fitting each other. Because when we receive a incoming signal at 16Bits, process it in any way, and then send it out at 12Bits, there is an enourmous amount of quality loss because of the resolution drop. So, perspectively it makes much more sense to use the same Resolution for the DAC's and ADC's. Or at least an higher Resolution on the DAC then on the ADC. So in the future we will exchange the current 12Bit DAC by an 16Bit DAC.

Then, shortly before the final presentation we realized that two of our potentiometers weren't working. On the picture at the top of this page can only 1 still be seen, the free space in the right corner of the circuit was actually holded for the 4. Potentiometer. But as we figured out that the problem was laying inside two of the analog Inputs of the arduino itself, we decided to remove the 4. one for now. As we were having an indifference between the digital functionality and the possibilities our hardware setup gave us at this point, it wasn't a problem. The lack of more sophisticated functions was more connected to the fact that it took us too much time to write the functions. The lack of knowledge in writing code for such purposes was actually the biggest problem that occured in the realization of this project. Because our both amateurish coding knowledge doesn't include bitwise operators at all. And so doesn't our coding approach in this project. That means we used a ton of global variables to provide our functions working. This results in 80% cpu usage with really not that many or complex features yet. That is not practicible for the future at all. So the optimization of the code is really the most important thing for further developing this circuit.

After that said, we want to name and explain some functionalities we want to add in the future.

Extend existing functions:

  • General

-higher Range of available Speed for Audio Range Modulation Purposes
-Modulation of Parameters through CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] in
-simultaneous Modes

  • Sine LFO

-more Shapes by using Wavetables

  • Sample & Hold

-Interpolation Amount for fading into Smoothed Random

Add new functions:

  • "Quantizator"

The, not yet existing "special knob" in the upper right corner of the circuit was intended for that. This function should not be another Mode which has to be selected like the other Modes. It should more be something like a filter at the end of the processing chain. When turned down, the output voltage isn't not affected. When turning up, the output voltage got slowy quantized into semitones. When it's halfway turned, the Output should spit out 12 Values per 1 Voltage, so 120 values or "notes" in the full range. That means it can play analog synthesizers musically over 10 octaves. When this "special knob" got turned above the half, it slowy fades the 12 semitones per 1 Volt into less and specific ones. By this, the device is able to turn any signal, no matter if generated, processed or just incoming into a musical scale. Which scale exactly shall be also choosable by the user over an extra button which switches between different scales.


  • Envelopes

Just a classic clockable AD-Envelope generator. Also loopable, when no Gate Signal is received. As expected, Decay time shall be modulatable by CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] input.


Further things:

  • USB Audio CODEC

To use this device directly without OSC[[OSC|Open Sound Control]] or Serial data transfers with other Software like "CV1. [[Tracking Motion Detection|Computer Vision]], 2. [[wikipedia:Curriculum vitae]] Tools", like the Expert Sleeper Devices we mentioned in the beginning, it must be recognized as an audio interface.

  • Panel Design
  • Eurorack Format and Power Supply