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Web Audio AudioWorklet & Polyphonic Synthesizer DSP Studio
Model glitch-free real-time audio DSP off the main JavaScript thread. Simulate W3C
AudioWorkletProcessor 128-sample render quantums, PolyBLEP band-limited anti-aliased
oscillators, 4-pole 24dB/oct resonant Moog ladder filters, and exponential ADSR envelopes.
AudioWorklet
128-Sample Quantum
PolyBLEP Anti-Aliased
Waveform synthesis method & Nyquist harmonic suppression
2.8 kHz
4-Pole 24dB/Octave Moog Resonant Ladder Filter
Q: 3.5
Non-linear tanh() self-oscillation feedback loop
Real-time interactive audio trigger using browser AudioWorklet / WebAudio
📈 Real-Time Waveform & Frequency Harmonic Spectrum
128-Sample Quantum ActiveOscilloscope Time Domain (128 Samples)
Frequency Spectrum & Nyquist Foldover
Quantum Latency
2.67 ms
128 samples @ 48,000 Hz
Aliasing Suppression
-42.5 dB
PolyBLEP Nyquist roll-off
Moog Ladder Poles
4-Pole (24dB)
Bilinear transform warped
DSP Thread Budget
0.18 ms
6.7% of 2.67ms budget
📐 Mathematical DSP Equations & PolyBLEP Derivation
Calculating PolyBLEP and bilinear transform parameters...
⚠️ 5 Fatal Traps in Web Audio AudioWorklet DSP Development
1. Allocating Objects or Arrays inside process():
Calling
new Float32Array(), object literals {}, or instantiating closures inside process() invokes V8 minor GC sweeps. Because the audio thread is time-critical (2.67ms deadline), GC pauses trigger immediate buffer underruns, audible clicks, and dropped audio. Pre-allocate all memory in the processor constructor.
2. Blocking the Audio Thread with console.log:
Using
console.log() inside process() causes synchronous IPC messaging across process threads. Under 128-sample quantums, this introduces microsecond delays that quickly overrun the 2.67ms budget. Only communicate via port.postMessage() or lockless SharedArrayBuffer ring buffers.
3. Assuming a Fixed 44.1 kHz Sample Rate:
Hardcoding
44100 into filter frequency calculations breaks tuning and stability when running on modern 48 kHz, 96 kHz, or Bluetooth audio outputs (which dynamically switch sample rates). Always reference currentFrame and the dynamic global sampleRate.
4. Forgetting to Return true from process():
In the W3C AudioWorklet specification, returning
false (or omitting a return statement) immediately instructs the browser audio graph that the node has terminated and should be garbage collected. Always return true to keep the node running.
5. Omitting Denormal Number Clamping in IIR Filters:
Recursive feedback filters (like Moog ladders or biquads) generate tiny floating-point numbers ($< 10^{-38}$) as audio decays. In x86/ARM CPUs, these "subnormal" or "denormal" numbers fall back to software emulation microcode, multiplying CPU load by 100x. Clamp outputs with
x = Math.abs(x) < 1e-15 ? 0 : x or add a tiny DC offset.
Frequently Asked Technical Questions
Why did the W3C deprecate ScriptProcessorNode in favor of AudioWorklet?+
The legacy ScriptProcessorNode ran audio synthesis callbacks directly on the browser main thread. Whenever JavaScript executed heavy layout calculations, DOM mutations, or garbage collection sweeps, the audio thread starved, causing audible clicks, pops, and glitching dropouts. Furthermore, ScriptProcessorNode suffered from a minimum buffer latency of 256 to 16,384 samples (~6ms to 370ms). AudioWorklet executes inside a dedicated, high-priority real-time audio rendering thread with an ultra-low fixed quantum of 128 samples (~2.67ms at 48kHz).
What is the 128-sample quantum block in AudioWorkletProcessor.process()?+
In the W3C Web Audio specification, the audio rendering engine operates in strict chunks of 128 PCM audio samples per channel block (the "render quantum"). At 48,000 Hz sample rate, 128 samples correspond to exactly 2.666 milliseconds of audio. The process() method must compute and write all 128 samples before this 2.67ms deadline expires; failing to do so causes an immediate audio buffer underrun (dropout).
How does PolyBLEP (Polynomial Band-Limited Step) eliminate digital aliasing in synthesis?+
Naive digital waveforms like Sawtooth or Square have instantaneous mathematical discontinuities (vertical edges). In digital signal processing, an instantaneous step contains infinite high frequencies that exceed the Nyquist limit (sample_rate / 2). These unrepresentable frequencies reflect backwards into the audible spectrum as harsh, dissonant aliasing noise. PolyBLEP approximates a band-limited step function using a second-order polynomial, smoothing only the 2 samples surrounding each transition to eliminate aliasing while preserving razor-sharp analog timbre.
Why is memory allocation (new Float32Array, object creation) strictly forbidden inside process()?+
AudioWorkletProcessor runs inside a real-time thread where timing must be deterministic to the microsecond. Allocating memory (via new Float32Array(), object literals, or closures) forces the browser JavaScript V8 engine to allocate heap memory, which eventually triggers a Garbage Collection (GC) sweep. When the garbage collector runs, it pauses the audio execution thread, resulting in catastrophic audio dropouts and clicking.
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