| Index: third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
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| diff --git a/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html b/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
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| new file mode 100644
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| index 0000000000000000000000000000000000000000..34e3b21501e2095c3952b4cc1dd1b2550319a2fb
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| --- /dev/null
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| +++ b/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
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| @@ -0,0 +1,266 @@
|
| +<!doctype html>
|
| +<html>
|
| + <head>
|
| + <script src="../resources/js-test.js"></script>
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| + <script src="resources/compatibility.js"></script>
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| + <script src="resources/audio-testing.js"></script>
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| + <script src="resources/panner-formulas.js"></script>
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| + <title>Test Automation of PannerNode Positions</title>
|
| + </head>
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| +
|
| + <body>
|
| + <script>
|
| + description("Test Automation of PannerNode Positions.");
|
| + window.jsTestIsAsync = true;
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| +
|
| + var sampleRate = 48000;
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| + // These tests are quite slow, so don't run for many frames. 256 frames should be enough to
|
| + // demonstrate that automations are working.
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| + var renderFrames = 256;
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| + var renderDuration = renderFrames / sampleRate;
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| +
|
| + var context;
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| + var panner;
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| +
|
| + var audit = Audit.createTaskRunner();
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| +
|
| + // Set of tests for the panner node with automations applied to the position of the source.
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| + var testConfigs = [{
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| + // Distance model parameters for the panner
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| + distanceModel: {
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| + model: "inverse",
|
| + rolloff: 1
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| + },
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| + // Initial location of the source
|
| + startPosition: [0, 0, 1],
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| + // Final position of the source. For this test, we only want to move on the z axis which
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| + // doesn't change the azimuth angle.
|
| + endPosition: [0, 0, 10000],
|
| + }, {
|
| + distanceModel: {
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| + model: "inverse",
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| + rolloff: 1
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| + },
|
| + startPosition: [0, 0, 1],
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| + // An essentially random end position, but it should be such that azimuth angle changes as
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| + // we move from the start to the end.
|
| + endPosition: [20000, 30000, 10000],
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| + errorThreshold: [{
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| + // Error threshold for 1-channel case
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| + relativeThreshold: 4.8124e-7
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| + }, {
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| + // Error threshold for 2-channel case
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| + relativeThreshold: 4.3267e-7
|
| + }],
|
| + }, {
|
| + distanceModel: {
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| + model: "exponential",
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| + rolloff: 1.5
|
| + },
|
| + startPosition: [0, 0, 1],
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| + endPosition: [20000, 30000, 10000],
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| + errorThreshold: [{
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| + relativeThreshold: 5.0783e-7
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| + }, {
|
| + relativeThreshold: 5.2180e-7
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| + }]
|
| + }, {
|
| + distanceModel: {
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| + model: "linear",
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| + rolloff: 1
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| + },
|
| + startPosition: [0, 0, 1],
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| + endPosition: [20000, 30000, 10000],
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| + errorThreshold: [{
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| + relativeThreshold: 6.5324e-6
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| + }, {
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| + relativeThreshold: 6.5756e-6
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| + }]
|
| + }];
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| +
|
| + for (var k = 0; k < testConfigs.length; ++k) {
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| + var config = testConfigs[k];
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| + var tester = function (c, channelCount) {
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| + return function (done) {
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| + runTest(c, channelCount).then(done);
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| + }
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| + };
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| +
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| + var baseTestName = config.distanceModel.model + " rolloff: " + config.distanceModel.rolloff;
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| +
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| + // Define tasks for both 1-channel and 2-channel
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| + audit.defineTask(k + ": 1-channel " + baseTestName, tester(config, 1));
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| + audit.defineTask(k + ": 2-channel " + baseTestName, tester(config, 2));
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| + }
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| +
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| + audit.defineTask("finish", function (done) {
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| + finishJSTest();
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| + done();
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| + });
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| +
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| + audit.runTasks();
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| +
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| + function runTest(options, channelCount) {
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| + // Output has 5 channels: channels 0 and 1 are for the stereo output of the panner node.
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| + // Channels 2-5 are the for automation of the x,y,z coordinate so that we have actual
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| + // coordinates used for the panner automation.
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| + context = new OfflineAudioContext(5, renderFrames, sampleRate);
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| +
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| + // Stereo source for the panner.
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| + var source = context.createBufferSource();
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| + source.buffer = createConstantBuffer(context, renderFrames, channelCount == 1 ? 1 : [1, 2]);
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| +
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| + panner = context.createPanner();
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| + panner.distanceModel = options.distanceModel.model;
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| + panner.rolloffFactor = options.distanceModel.rolloff;
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| + panner.panningModel = "equalpower";
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| +
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| + // Source and gain node for the z-coordinate calculation.
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| + var dist = context.createBufferSource();
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| + dist.buffer = createConstantBuffer(context, 1, 1);
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| + dist.loop = true;
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| + var gainX = context.createGain();
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| + var gainY = context.createGain();
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| + var gainZ = context.createGain();
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| + dist.connect(gainX);
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| + dist.connect(gainY);
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| + dist.connect(gainZ);
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| +
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| + // Set the gain automation to match the z-coordinate automation of the panner.
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| +
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| + // End the automation some time before the end of the rendering so we can verify that
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| + // automation has the correct end time and value.
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| + var endAutomationTime = 0.75 * renderDuration;
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| +
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| + gainX.gain.setValueAtTime(options.startPosition[0], 0);
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| + gainX.gain.linearRampToValueAtTime(options.endPosition[0], endAutomationTime);
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| + gainY.gain.setValueAtTime(options.startPosition[1], 0);
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| + gainY.gain.linearRampToValueAtTime(options.endPosition[1], endAutomationTime);
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| + gainZ.gain.setValueAtTime(options.startPosition[2], 0);
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| + gainZ.gain.linearRampToValueAtTime(options.endPosition[2], endAutomationTime);
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| +
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| + dist.start();
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| +
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| + // Splitter and merger to map the panner output and the z-coordinate automation to the
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| + // correct channels in the destination.
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| + var splitter = context.createChannelSplitter(2);
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| + var merger = context.createChannelMerger(5);
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| +
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| + source.connect(panner);
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| + // Split the output of the panner to separate channels
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| + panner.connect(splitter);
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| +
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| + // Merge the panner outputs and the z-coordinate output to the correct destination channels.
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| + splitter.connect(merger, 0, 0);
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| + splitter.connect(merger, 1, 1);
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| + gainX.connect(merger, 0, 2);
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| + gainY.connect(merger, 0, 3);
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| + gainZ.connect(merger, 0, 4);
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| +
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| + merger.connect(context.destination);
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| +
|
| + // Initialize starting point of the panner.
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| + panner.positionX.setValueAtTime(options.startPosition[0], 0);
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| + panner.positionY.setValueAtTime(options.startPosition[1], 0);
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| + panner.positionZ.setValueAtTime(options.startPosition[2], 0);
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| +
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| + // Automate z coordinate to move away from the listener
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| + panner.positionX.linearRampToValueAtTime(options.endPosition[0], 0.75 * renderDuration);
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| + panner.positionY.linearRampToValueAtTime(options.endPosition[1], 0.75 * renderDuration);
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| + panner.positionZ.linearRampToValueAtTime(options.endPosition[2], 0.75 * renderDuration);
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| +
|
| + source.start();
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| +
|
| + // Go!
|
| + return context.startRendering()
|
| + .then(function (renderedBuffer) {
|
| + // Get the panner outputs
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| + var data0 = renderedBuffer.getChannelData(0);
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| + var data1 = renderedBuffer.getChannelData(1);
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| + var xcoord = renderedBuffer.getChannelData(2);
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| + var ycoord = renderedBuffer.getChannelData(3);
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| + var zcoord = renderedBuffer.getChannelData(4);
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| +
|
| + // We're doing a linear ramp on the Z axis with the equalpower panner, so the equalpower
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| + // panning gain remains constant. We only need to model the distance effect.
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| +
|
| + // Compute the distance gain
|
| + var distanceGain = new Float32Array(xcoord.length);;
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| +
|
| + if (panner.distanceModel === "inverse") {
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| + for (var k = 0; k < distanceGain.length; ++k) {
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| + distanceGain[k] = inverseDistance(panner, xcoord[k], ycoord[k], zcoord[k])
|
| + }
|
| + } else if (panner.distanceModel === "linear") {
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| + for (var k = 0; k < distanceGain.length; ++k) {
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| + distanceGain[k] = linearDistance(panner, xcoord[k], ycoord[k], zcoord[k])
|
| + }
|
| + } else if (panner.distanceModel === "exponential") {
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| + for (var k = 0; k < distanceGain.length; ++k) {
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| + distanceGain[k] = exponentialDistance(panner, xcoord[k], ycoord[k], zcoord[k])
|
| + }
|
| + }
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| +
|
| + // Compute the expected result. Since we're on the z-axis, the left and right channels
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| + // pass through the equalpower panner unchanged. Only need to apply the distance gain.
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| + var buffer0 = source.buffer.getChannelData(0);
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| + var buffer1 = channelCount == 2 ? source.buffer.getChannelData(1) : buffer0;
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| +
|
| + var azimuth = new Float32Array(buffer0.length);
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| +
|
| + for (var k = 0; k < data0.length; ++k) {
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| + azimuth[k] = calculateAzimuth([
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| + xcoord[k],
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| + ycoord[k],
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| + zcoord[k]
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| + ], [
|
| + context.listener.positionX.value,
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| + context.listener.positionY.value,
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| + context.listener.positionZ.value
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| + ], [
|
| + context.listener.forwardX.value,
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| + context.listener.forwardY.value,
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| + context.listener.forwardZ.value
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| + ], [
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| + context.listener.upX.value,
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| + context.listener.upY.value,
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| + context.listener.upZ.value
|
| + ]);
|
| + }
|
| +
|
| + var expected = applyPanner(azimuth, buffer0, buffer1, channelCount);
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| + var expected0 = expected.left;
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| + var expected1 = expected.right;
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| +
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| + for (var k = 0; k < expected0.length; ++k) {
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| + expected0[k] *= distanceGain[k];
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| + expected1[k] *= distanceGain[k];
|
| + }
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| +
|
| + var info = options.distanceModel.model + ", rolloff: " + options.distanceModel.rolloff;
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| + var prefix = channelCount + "-channel "
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| + + "[" + options.startPosition[0] + ", "
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| + + options.startPosition[1] + ", "
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| + + options.startPosition[2] + "] -> ["
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| + + options.endPosition[0] + ", "
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| + + options.endPosition[1] + ", "
|
| + + options.endPosition[2] + "]: ";
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| +
|
| + var errorThreshold = 0;
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| +
|
| + if (options.errorThreshold)
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| + errorThreshold = options.errorThreshold[channelCount - 1]
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| +
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| + Should(prefix + "distanceModel: " + info + ", left channel", data0, {
|
| + verbose: true
|
| + })
|
| + .beCloseToArray(expected0, errorThreshold);
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| + Should(prefix + "distanceModel: " + info + ", right channel", data1, {
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| + verbose: true
|
| + })
|
| + .beCloseToArray(expected1, errorThreshold);
|
| + });
|
| + }
|
| + </script>
|
| + </body>
|
| +</html>
|
|
|
Chromium Code Reviews
Issue 1820403002:
Implement Automations for PannerNode and AutioListener (Closed)
Base URL: https://chromium.googlesource.com/chromium/src.git@master