The AudioWorkletGlobalScope interface of the Web Audio API represents a global execution context for user-supplied code, which defines custom AudioWorkletProcessor-derived classes.
As the global execution context is shared across the current BaseAudioContext, it's possible to define any other variables and perform any actions allowed in worklets — apart from defining AudioWorkletProcessor derived classes.
Instance properties
This interface also inherits properties defined on its parent interface, WorkletGlobalScope.
Returns an integer that represents the ever-increasing current sample-frame of the audio block being processed. It is incremented by 128 (the size of a render quantum) after the processing of each audio block.
Returns a double that represents the ever-increasing context time of the audio block being processed. It is equal to the currentTime property of the BaseAudioContext the worklet belongs to.
Registers a class derived from the AudioWorkletProcessor interface. The class can then be used by creating an AudioWorkletNode, providing its registered name.
Examples
In this example we output all global properties into the console in the constructor of a custom AudioWorkletProcessor.
First we need to define the processor, and register it. Note that this should be done in a separate file.
js
// AudioWorkletProcessor defined in : test-processor.jsclassTestProcessorextendsAudioWorkletProcessor{constructor(){super();// Logs the current sample-frame and time at the moment of instantiation.// They are accessible from the AudioWorkletGlobalScope.
console.log(currentFrame);
console.log(currentTime);}// The process method is required - output silence,// which the outputs are already filled with.process(inputs, outputs, parameters){returntrue;}}// Logs the sample rate, that is not going to change ever,// because it's a read-only property of a BaseAudioContext// and is set only during its instantiation.
console.log(sampleRate);// You can declare any variables and use them in your processors// for example it may be an ArrayBuffer with a wavetableconst usefulVariable =42;
console.log(usefulVariable);registerProcessor("test-processor", TestProcessor);
Next, in our main scripts file we'll load the processor, create an instance of AudioWorkletNode — passing the name of the processor to it — and connect the node to an audio graph. We should see the output of console.log() calls in the console: