A cross-architecture and cross-platform modular software synthesizer for small intros, forked from 4klang. Targetable architectures include 386, amd64, and WebAssembly; targetable platforms include Windows, Mac, Linux (and related) + browser.
User manual will be in the Wiki.
You can either 1) download the prebuilt release binaries from the releases; or 2) download the latest build from the master branch from the actions (find workflow "Binaries" and scroll down for .zip files containing the artifacts). Then just run one of the executables or, in the case of the VST plugins library files, copy them wherever you keep you VST2 plugins.
The pre 1.0 version tags are mostly for reference: no backwards compatibility will be guaranteed while upgrading to a newer version. Backwards compatibility will be attempted from 1.0 onwards.
Uninstallation: Sointu stores recovery data in OS-specific folders
e.g. AppData/Roaming/Sointu on Windows. For clean uninstall, delete
also this folder. See here where
to find those folders on other platforms.
Sointu is work-in-progress. It is a fork and an evolution of 4klang, a modular software synthesizer intended to easily produce music for 4k intros — small executables with a maximum filesize of 4096 bytes containing realtime audio and visuals. Like 4klang, the sound is produced by a virtual machine that executes small bytecode to produce the audio; however, by now the internal virtual machine has been heavily rewritten and extended. It is actually extended so much that you will never fit all the features at the same time in a 4k intro, but a fairly capable synthesis engine can already be fitted in 600 bytes (386, compressed), with another few hundred bytes for the patch and pattern data.
Sointu consists of two core elements:
- A cross-platform synth-tracker that runs as either VSTi or stand-alone app for composing music, written in go. The app is still heavily work in progress. The app exports the projects as .yml files.
- A compiler, likewise written in go, which can be invoked from the command line to compile these .yml files into .asm or .wat code. For x86/amd64, the resulting .asm can be then compiled by nasm. For browsers, the resulting .wat can be compiled by wat2wasm.
This is how the current prototype app looks like:
Various aspects of the project have different tool dependencies, which are listed below.
This is the stand-alone version of the synth-tracker. Sointu-track uses the gioui for the GUI and oto for the audio, so the portability is currently limited by these.
- go
- If you want to use the faster x86 assembly written synthesizer:
- Follow the instructions to build the x86 native virtual machine before building the tracker.
- cgo compatible compiler e.g. gcc. On
windows, you best bet is MinGW. We use the tdm-gcc.
The compiler can be in PATH or you can use the environment variable
CCto help go find the compiler. - Setting environment variable
CGO_ENABLED=1is a good idea, because if it is not set and go fails to find the compiler, go just excludes all files withimport "C"from the build, resulting in lots of errors about missing types.
go run cmd/sointu-track/main.go
go build -o sointu-track.exe cmd/sointu-track/main.go
On other platforms than Windows, replace -o sointu-track.exe with
-o sointu-track.
If you want to use the x86 native virtual machine,
add -tags=native to all the commands e.g.
go build -o sointu-track.exe -tags=native cmd/sointu-track/main.go
This is the VST instrument plugin version of the tracker, compiled into a dynamically linked library and ran inside a VST host.
- go
- cgo compatible compiler e.g. gcc. On windows,
you best bet is MinGW. We use the tdm-gcc.
The compiler can be in PATH or you can use the environment variable
CCto help go find the compiler. - Setting environment variable
CGO_ENABLED=1is a good idea, because if it is not set and go fails to find the compiler, go just excludes all files withimport "C"from the build, resulting in lots of errors about missing types. - If you want to use the faster x86 assembly written synthesizer:
- Follow the instructions to build the x86 native virtual machine before building the plugin itself
go build -buildmode=c-shared -tags=plugin -o sointu-vsti.dll .\cmd\sointu-vsti\
On other platforms than Windows, replace -o sointu-vsti.dll appropriately e.g.
-o sointu-vsti.so; so far, the VST instrument has been built & tested on
Windows and Linux.
Notice the -tags=plugin build tag definition. This is required by the vst2
library; otherwise, you will get a lot of
build errors.
Add -tags=native,plugin to use the x86 native virtual
machine instead of the virtual machine written in Go.
The command line interface to it is sointu-compile and the actual code resides in the compiler package, which is an ordinary go package with no other tool dependencies.
go run cmd/sointu-compile/main.go
go build -o sointu-compile.exe cmd/sointu-compile/main.go
On other platforms than Windows, replace -o sointu-compile.exe with
-o sointu-compile.
The compiler can then be used to compile a .yml song into .asm and .h files. For example:
sointu-compile -o . -arch=386 tests/test_chords.yml
nasm -f win32 test_chords.asm
WebAssembly example:
sointu-compile -o . -arch=wasm tests/test_chords.yml
wat2wasm --enable-bulk-memory test_chords.wat
If you are looking for an easy way to compile an executable from a Sointu song (e.g. for a executable music compo), take a look at NR4's Python-based tool for it.
The folder examples/code contains usage examples for Sointu with winmm and
dsound playback under Windows and asound playback under Unix. Source code is
available in C and x86 assembly (win32, elf32 and elf64 versions).
To build the examples, use ninja examples.
If you want to target smaller executable sizes, using a compressing linker like Crinkler on Windows is recommended.
The linux examples use ALSA and need libasound2-dev (or libasound2-dev:386) installed. The 386 version also needs pipewire-alsa:386 installed, which is not there by default.
The native bridge allows Go to call the sointu compiled x86 native virtual machine, through cgo, instead of using the Go written bytecode interpreter. It's likely slightly faster than the interpreter. Before you can actually run it, you need to build the bridge using CMake (thus, this will not work with go get).
The last point is because the command line player and the tracker use cgo to interface with the synth core, which is compiled into a library. The cgo bridge resides in the package bridge.
Assuming you are using ninja:
mkdir build
cd build
cmake .. -GNinja
ninja sointu
⚠️ you must build the library inside a directory called 'build' at the root of the project. This is because the path where cgo looks for the library is hard coded to point to build/ in the go files.
Running ninja sointu only builds the static library that Go needs. This is a
lot faster than building all the CTests.
You and now run all the Go tests, even the ones that test the native bridge. From the project root folder, run:
go test ./...
Play a song from the command line:
go run -tags=native cmd/sointu-play/main.go tests/test_chords.yml
⚠️ Unlike the x86/amd64 VM compiled by Sointu, the Go written VM bytecode interpreter uses a software stack. Thus, unlike x87 FPU stack, it is not limited to 8 items. If you intent to compile the patch to x86/amd64 targets, make sure not to use too much stack. Keeping at most 5 signals in the stack is presumably fine (reserving 3 for the temporary variables of the opcodes). In future, the app should give warnings if the user is about to exceed the capabilities of a target platform.
⚠️ If you are using Yasm instead of Nasm, and you are using MinGW: Yasm 1.3.0 (currently still the latest stable release) and GNU linker do not play nicely along, trashing the BSS layout. The linker had placed our synth object overlapping with DLL call addresses; very funny stuff to debug. See here and the fix here. Since Nasm is nowadays under BSD license, there is absolutely no reason to use Yasm. However, if you do, use a newer nightly build of Yasm that includes the fix.
There are regression tests that are built as executables, testing that they work the same way when you would link them in an intro.
- go
- CMake with CTest
- nasm
- Your favorite CMake compatible c-compiler & build tool. Results have been obtained using Visual Studio 2019, gcc&make on linux, MinGW&mingw32-make, and ninja&AppleClang.
Assuming you are using ninja:
mkdir build
cd build
cmake .. -GNinja
ninja
ninja test
Note that this builds 64-bit binaries on 64-bit Windows. To build 32-bit binaries on 64-bit Windows, replace in above:
cmake .. -DCMAKE_C_FLAGS="-m32" -DCMAKE_ASM_NASM_OBJECT_FORMAT="win32" -GNinja
Another example: on Visual Studio 2019 Community, just open the folder, choose either Debug or Release and either x86 or x64 build, and hit build all.
These are automatically invoked by CTest if node and wat2wasm are found in the path.
- New units. For example: bit-crusher, gain, inverse gain, clip, modulate bpm (proper triplets!), compressor (can be used for side-chaining).
- Compiler. Written in go. The input is a .yml file and the output is an
.asm. It works by inputting the song data to the excellent go
text/templatepackage, effectively working as a preprocessor. This allows quite powerful combination: we can handcraft the assembly code to keep the entropy as low as possible, yet we can call arbitrary go functions as "macros". The templates are here and the compiler lives here. - Tracker. Written in go. Can run either as a stand-alone app or a vsti plugin.
- Supports 32 and 64 bit builds. The 64-bit version is done with minimal changes to get it work, using template macros to change the lines between 32-bit and 64-bit modes. Mostly, it's as easy as writing {{.AX}} instead of eax; the macro {{.AX}} compiles to eax in 32-bit and rax in 64-bit.
- Supports compiling into WebAssembly. This is a complete reimplementation of the core, written in WebAssembly text format (.wat).
- Supports Windows, Linux and MacOS. On all three 64-bit platforms, all tests are passing. Additionally, all tests are passing on windows 32.
- Per instrument polyphonism. An instrument has the possibility to have any number of voices, meaning that multiple voices can reuse the same opcodes. So, you can have a single instrument with three voices, and three tracks that use this instrument, to make chords. See here for an example and here for the implementation. The maximum total number of voices is 32: you can have 32 monophonic instruments or any combination of polyphonic instruments adding up to 32.
- Any number of voices per track. A single track can trigger more than one voice. At every note, a new voice from the assigned voices is triggered and the previous released. Combined with the previous, you can have a single track trigger 3 voices and all these three voices use the same instrument, useful to do polyphonic arpeggios (see here). Not only that, a track can even trigger voices of different instruments, alternating between these two; maybe useful for example as an easy way to alternate between an open and a closed hihat.
- Easily extensible. Instead of %ifdef hell, the primary extension mechanism is through new opcodes for the virtual machine. Only the opcodes actually used in a song are compiled into the virtual machine. The goal is to try to write the code so that if two similar opcodes are used, the common code in both is reused by moving it to a function. Macro and linker magic ensure that also helper functions are only compiled in if they are actually used.
- Songs are YAML files. These markup files are simple data files, describing the tracks, patterns and patch structure (see here for an example). The sointu-compile then reads these files and compiles them into .asm code. This has the nice implication that, in future, there will be no need for a binary format to save patches, nor should you need to commit .o or .asm to repo: just put the .yml in the repo and automate the .yml -> .asm -> .o steps using sointu-compile & nasm.
- Harmonized support for stereo signals. Every opcode supports a stereo variant: the stereo bit is hidden in the least significant bit of the command stream and passed in carry to the opcode. This has several nice advantages: 1) the opcodes that don't need any parameters do not need an entire byte in the value stream to define whether it is stereo; 2) stereo variants of opcodes can be implemented rather efficiently; in some cases, the extra cost of stereo variant is only 5 bytes (uncompressed). 3) Since stereo opcodes usually follow stereo opcodes (and mono opcodes follow mono opcodes), the stereo bits of the command bytes will be highly correlated and if crinkler or any other modeling compressor is doing its job, that should make them highly predictable i.e. highly compressable.
- Test-driven development. Given that 4klang was already a mature project, the first thing actually implemented was a set of regression tests to avoid breaking everything beyond any hope of repair. Done, using go test (runs the .yml regression tests through the library) and CTest (compiles each .yml into executable and ensures that when run like this, the test case produces identical output). The tests are also ran in the cloud using github actions.
- Arbitrary signal routing. SEND (used to be called FST in 4klang) opcode normally sends the signal as a modulation to another opcode. But with the new RECEIVE opcode, you just receive the plain signal there. So you can connect signals in an arbitrary way. Actually, 4klang could already do this but in a very awkward way: it had FLD (load value) opcode that could be modulated; FLD 0 with modulation basically achieved what RECEIVE does, except that RECEIVE can also handle stereo signals. Additionally, we have OUTAUX, AUX and IN opcodes, which route the signals through global main or aux ports, more closer to how 4klang does. But this time we have 8 mono ports / 4 stereo ports, so even this method of routing is unlikely to run out of ports in small intros.
- Pattern length does not have to be a power of 2.
- Sample-based oscillators, with samples imported from gm.dls. The gm.dls is available from system folder only on Windows, but the non-native tracker looks for it also in the current folder, so should you somehow magically get hold of gm.dls on Linux or Mac, you can drop it in the same folder with the tracker. See this example, and this go generate program parses the gm.dls file and dumps the sample offsets from it.
- Unison oscillators. Multiple copies of the oscillator running slightly detuned and added up to together. Great for trance leads (supersaw). Unison of up to 4, or 8 if you make stereo unison oscillator and add up both left and right channels. See this example.
- Compiling as a library. The API is very rudimentary, a single function render, and between calls, the user is responsible for manipulating the synth state in a similar way as the actual player does (e.g. triggering/ releasing voices etc.)
- Calling Sointu as a library from Go language. The Go API is slighty more sane than the low-level library API, offering more Go-like experience.
- A bytecode interpreter written in pure go. It's slightly slower than the hand-written assembly code by sointu compiler, but with this, the tracker is ultraportable and does not need cgo calls.
- Find a more general solution for skipping opcodes / early outs. It might be a new opcode "skip" that skips from the opcode to the next out in case the signal entering skip and the signal leaving out are both close to zero. Need to investigate the best way to implement this.
- Even more opcodes. Some potentially useful additions could be:
- Equalizer / more flexible filters
- Very slow filters (~ DC-offset removal). Can be implemented using a single bit flag in the existing filter
- Arbitrary envelopes; for easier automation.
- MIDI support for the tracker.
- Find a solution for denormalized signals. Denormalized floating point numbers (floating point numbers that are very very small) can result in 100x CPU slow down. We got hit by this already: the damp filters in delay units were denormalizing, resulting in the synth being unusable in real time. Need to investigate a) where denormalization can happen; b) how to prevent it: add & substract value; c) make this optional to the user. For quick explanation about the potential massive CPU hit, see https://stackoverflow.com/questions/36781881/why-denormalized-floats-are-so-much-slower-than-other-floats-from-hardware-arch
- Hack deeper into audio sources from the OS. Speech synthesis, I'm eyeing at you.
- Make sure the assembly code is readable after compiling: it should have liberally comments in the outputted .asm file. This allows humans to study the outputted code and figure out more easily if there's still way to squeeze out instructions from the code.
- Instead of prematurely adding %ifdef toggles to optimize away unused features, start with the most advanced featureset and see if you can implement it in a generalized way. For example, all the modulations are now added into the values when they are converted from integers, in a standardized way. This got rid of most of the %ifdefs in 4klang. Also, with no %ifdefs cluttering the view, many opportunities to shave away instructions became apparent. Also, by making the most advanced synth cheaply available to the scene, we promote better music in future 4ks :)
- Size first, speed second. Speed will only considered if the situation becomes untolerable.
- Benchmark optimizations. Compression results are sometimes slightly nonintuitive so alternative implementations should always be benchmarked e.g. by compiling and linking a real-world song with Leviathan and observing how the optimizations affect the byte size.
4klang development was started in 2007 by Dominik Ries (gopher) and Paul Kraus (pOWL) of Alcatraz. The write-up will still be helpful for anyone looking to understand how 4klang and Sointu use the FPU stack to manipulate the signals. Since then, 4klang has been used in countless of scene productions and people use it even today.
However, 4klang seems not to be actively developed anymore and polyphonism was implemented only in a rather limited way (you could have exactly 2 voices per instrument if you enable it). Also, reading through the code, I spotted several avenues to squeeze away more bytes. These observations triggered project Sointu. That, and I just wanted to learn x86 assembly, and needed a real-world project to work on.
"Sointu" means a chord, in Finnish; a reference to the polyphonic capabilities of the synth. I assume we have all learned by now what "klang" means in German, so I thought it would fun to learn some Finnish for a change. And there's enough klangs already.
- Adam by brainlez Coders! My first test-driving of Sointu. The repository has some ideas how to integrate Sointu to the build chain.
- Roadtrip by LJ & Virgill
- | by epoqe. Likely the first Linux 4k intro using sointu.
- Physics Girl St. by Team210
- Delusions of mediocrity by mrange & Virgill
- Xorverse by Alcatraz
- l'enveloppe by Team210 & epoqe
- Phosphorescent Purple Pixel Peaks by mrange & Virgill
- 21 by NR4 / Team210
- Tausendeins by epoqe & Team210
- Radiant by Team210
- Aurora Florae by Team210 and epoqe
- Night Ride by Ctrl-Alt-Test & Alcatraz
- Bicolor Challenge with Sointu song provided by wayfinder
Pull requests / suggestions / issues welcome, through Github! Or just DM me on Discord (see contact information below).
Distributed under the MIT License. See LICENSE for more information.
Veikko Sariola - pestis_bc on Demoscene discord - [email protected]
Project Link: https://github.com/vsariola/sointu
The original 4klang: Dominik Ries (gopher/Alcatraz) & Paul Kraus (pOWL/Alcatraz) ❤️
Sointu: Veikko Sariola (pestis/bC!), Apollo/bC!, NR4/Team210, PoroCYon, kendfss, anticore, qm210