karplus-stress-tester is a web page that allows you to make noise (and maybe music) by plucking and strumming on virtual strings in your web browser. It also presents a set of options which configure the way that these virtual strings are simulated in code.
karplus-stress-tester can be a fun and silly way to spend 5 minutes, and it might introduce you to a classic yet simple computer music gem. However, this project is primarily designed as a tool for software developers to better understand the tradeoffs involved in implementing custom audio signal processing algorithms and musical experiences for the web.
Play with it here: https://jackschaedler.github.io/karplus-stress-tester/
Start by pressing the Start Audio button in the top right-hand corner of the screen. Wait until a set of pink lines appear on the left side of the screen. These are your virtual "strings". Next, press the Pluck, Swipe, and Strum All buttons to make some noise. You can also click on the individual strings to "pluck" them.
You should be hearing something that sounds like an otherworldly harp/zither/dulcimer. If you're hearing glitches, pops, or crackles, that indicates that your browser is struggling to simulate the strings. If you're not hearing anything, make sure your volume is turned up. If that doesn't work, please file an issue/bug in this repository.
Note that this page only works in Firefox and Chrome. If you'd like this page to work in Safari as well, you can make that known in the webkit issue tracker.
If you're using Chrome, you can also pluck the strings using a MIDI device like a keyboard or pad controller. Whenever you play a note, the string with the nearest frequency will be "plucked".
Hot tip: You can also route MIDI from your DAW of choice to the page using something like the IAC Driver on Mac OSX.
The page uses AudioWorklets to run multiple instantiations of the Karplus-Strong string synthesis algorithm. The page allows you to choose the number of strings that you'd like to simulate, along with a number of options for how those strings are created, managed, and simulated.
karplus-stress-tester can be used to stress-test AudioWorklet, and (roughly) measure the performance tradeoffs that arise when choosing between a variety of implementation strategies, specifically around the topic of cross-thread communication between the GUI and audio rendering threads. This topic is quite important if you want to create highly interactive and visually compelling musical experiences in the browser.
In broad strokes, this page will hopefully help you answer questions like:
- Is it worth using WebAssembly?
- Is it worth using
SharedArrayBuffersinstead ofMessagePorts? - How much overhead (roughly) is introduced by each
AudioWorkletnode?
Recommended reading/watching before digging in deeper:
- https://hacks.mozilla.org/2020/05/high-performance-web-audio-with-audioworklet-in-firefox/
- https://developers.google.com/web/updates/2017/12/audio-worklet
- https://googlechromelabs.github.io/web-audio-samples/audio-worklet/
- https://www.youtube.com/watch?v=T2Yonjy7-g4&t=1s
The Karplus-Strong string synthesis algorithm is simple enough to be comprehensible at a (long) glance, while still producing fairly interesting sonic results. This is why I've chosen this algorithm, as opposed to using something more straightforward like a variable number of pure sine tones, which isn't quite as fun sonically.
You can find the code for the JavaScript implementation in string-processor.js.
You can find the code for the Rust/WebAssembly implementation in wasm/src/karplus_string.rs.
If you're inclined to dig into the code and you find any errors or inefficiences, please submit an issue or a PR.
Click the numbered buttons on the right-hand side of the screen to add or remove strings from the simulation. This is your main lever for stressing the browser. As you increase the number of strings, you might notice that the page gets laggy or/and the audio begins to glitch. Different combinations of the other parameters will allow you to simulate more (or fewer) strings.
The "String per AudioWorklet" section allows you to specify how many strings are simulated by each AudioWorklet node. This allows you to get a feel for the overhead introduced by each AudioWorklet node. Simulating many strings in a single AudioWorklet node is more performant, so you should probably keep the 100 strings per worklet option selected.
By default, the GUI will animate each string. In order to facilitate this animation, data for each string is sent from the audio simulation (Audio rendering thread) back to the GUI (Main thread) 60 times a second. There are two options available for sending this data between threads: MessagePorts and SharedArrayBuffers. Using MessagePorts will allocate memory, which will in turn lead to garbage collection. Using SharedArrayBuffers will not cause allocations, and will in turn avoid (potentially costly) garbage collection activity. Using SharedArrayBuffer will allow you to visualize and simulate more strings, since the browser will be less busy collecting the garbage that is created as a by-product of using MessagePort.
Note! In order to use
SharedArrayBufferswith Firefox, you'll need to use the Nightly build, and turn on thebypassCOOP_COEP.insecure.enabledflag. Make sure you turn the flag back off after viewing this site, and don't turn this flag on in a browser that you use for anything sensitive.
It's possible to write custom DSP for AudioWorklets using either JavaScript or WebAssembly. JavaScript is less performant than WebAssembly, but JavaScript is still surprisingly fast in modern browsers thanks to just-in-time compilation.
Note that when using JavaScript, it might take a while for the JIT compilation to "kick in". So, you might hear glitches when playback begins, and those glitches might quickly go away once the code has been optimized/compiled by the browser.
The WebAssembly for this page was written in Rust. You can see the code inside the wasm folder in the root of this repository.
Inside the wasm/worklet directory, run ./build.sh.
In order for this to work, you'll need to have Rust installed on your machine. In order to do that, you can follow the instructions here: https://www.rust-lang.org/tools/install. Once you've done that, ensure that the wasm32-unknown-unknown target is available on your machine by running rustup target add wasm32-unknown-unknown.
In the rustapp folder, there is code for a simple desktop application which uses portaudio and gtk. This app uses the same DSP code as the website, so you can (roughly) compare the difference in performance between running the DSP code in a desktop app vs. a browser-based app. If you want to change the number of strings that are simulated, you'll need to edit the code directly in rustapp/src/portaudio_thread and re-build. Also, I've only implemented the "pluck" button/feature in the desktop version.
Things are constantly changing w/r/t WebAudio. Experiences which were impossible to create only months ago are now possible via a set of interrelated technologies (Worklet, WASM, etc) which are constantly being improved. So, any benchmarks/findings/measurements taken now will likely become obsolete quite quickly.
However, I've put some initial findings in the repository wiki. More findings will be collected there as testing is carried out on a wider range of devices.