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Diffstat (limited to 'testing/web-platform/tests/webaudio/the-audio-api/the-pannernode-interface/panner-automation-position.html')
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diff --git a/testing/web-platform/tests/webaudio/the-audio-api/the-pannernode-interface/panner-automation-position.html b/testing/web-platform/tests/webaudio/the-audio-api/the-pannernode-interface/panner-automation-position.html new file mode 100644 index 0000000000..8e09e869ac --- /dev/null +++ b/testing/web-platform/tests/webaudio/the-audio-api/the-pannernode-interface/panner-automation-position.html @@ -0,0 +1,265 @@ +<!DOCTYPE html> +<html> + <head> + <title> + Test Automation of PannerNode Positions + </title> + <script src="/resources/testharness.js"></script> + <script src="/resources/testharnessreport.js"></script> + <script src="../../resources/audit-util.js"></script> + <script src="../../resources/audit.js"></script> + <script src="../../resources/panner-formulas.js"></script> + </head> + <body> + <script id="layout-test-code"> + let sampleRate = 48000; + // These tests are quite slow, so don't run for many frames. 256 frames + // should be enough to demonstrate that automations are working. + let renderFrames = 256; + let renderDuration = renderFrames / sampleRate; + + let context; + let panner; + + let audit = Audit.createTaskRunner(); + + // Set of tests for the panner node with automations applied to the + // position of the source. + let testConfigs = [ + { + // Distance model parameters for the panner + distanceModel: {model: 'inverse', rolloff: 1}, + // Initial location of the source + startPosition: [0, 0, 1], + // Final position of the source. For this test, we only want to move + // on the z axis which + // doesn't change the azimuth angle. + endPosition: [0, 0, 10000], + }, + { + distanceModel: {model: 'inverse', rolloff: 1}, + startPosition: [0, 0, 1], + // An essentially random end position, but it should be such that + // azimuth angle changes as + // we move from the start to the end. + endPosition: [20000, 30000, 10000], + errorThreshold: [ + { + // Error threshold for 1-channel case + relativeThreshold: 4.8124e-7 + }, + { + // Error threshold for 2-channel case + relativeThreshold: 4.3267e-7 + } + ], + }, + { + distanceModel: {model: 'exponential', rolloff: 1.5}, + startPosition: [0, 0, 1], + endPosition: [20000, 30000, 10000], + errorThreshold: + [{relativeThreshold: 5.0783e-7}, {relativeThreshold: 5.2180e-7}] + }, + { + distanceModel: {model: 'linear', rolloff: 1}, + startPosition: [0, 0, 1], + endPosition: [20000, 30000, 10000], + errorThreshold: [ + {relativeThreshold: 6.5324e-6}, {relativeThreshold: 6.5756e-6} + ] + } + ]; + + for (let k = 0; k < testConfigs.length; ++k) { + let config = testConfigs[k]; + let tester = function(c, channelCount) { + return (task, should) => { + runTest(should, c, channelCount).then(() => task.done()); + } + }; + + let baseTestName = config.distanceModel.model + + ' rolloff: ' + config.distanceModel.rolloff; + + // Define tasks for both 1-channel and 2-channel + audit.define(k + ': 1-channel ' + baseTestName, tester(config, 1)); + audit.define(k + ': 2-channel ' + baseTestName, tester(config, 2)); + } + + audit.run(); + + function runTest(should, options, channelCount) { + // Output has 5 channels: channels 0 and 1 are for the stereo output of + // the panner node. Channels 2-5 are the for automation of the x,y,z + // coordinate so that we have actual coordinates used for the panner + // automation. + context = new OfflineAudioContext(5, renderFrames, sampleRate); + + // Stereo source for the panner. + let source = context.createBufferSource(); + source.buffer = createConstantBuffer( + context, renderFrames, channelCount == 1 ? 1 : [1, 2]); + + panner = context.createPanner(); + panner.distanceModel = options.distanceModel.model; + panner.rolloffFactor = options.distanceModel.rolloff; + panner.panningModel = 'equalpower'; + + // Source and gain node for the z-coordinate calculation. + let dist = context.createBufferSource(); + dist.buffer = createConstantBuffer(context, 1, 1); + dist.loop = true; + let gainX = context.createGain(); + let gainY = context.createGain(); + let gainZ = context.createGain(); + dist.connect(gainX); + dist.connect(gainY); + dist.connect(gainZ); + + // Set the gain automation to match the z-coordinate automation of the + // panner. + + // End the automation some time before the end of the rendering so we + // can verify that automation has the correct end time and value. + let endAutomationTime = 0.75 * renderDuration; + + gainX.gain.setValueAtTime(options.startPosition[0], 0); + gainX.gain.linearRampToValueAtTime( + options.endPosition[0], endAutomationTime); + gainY.gain.setValueAtTime(options.startPosition[1], 0); + gainY.gain.linearRampToValueAtTime( + options.endPosition[1], endAutomationTime); + gainZ.gain.setValueAtTime(options.startPosition[2], 0); + gainZ.gain.linearRampToValueAtTime( + options.endPosition[2], endAutomationTime); + + dist.start(); + + // Splitter and merger to map the panner output and the z-coordinate + // automation to the correct channels in the destination. + let splitter = context.createChannelSplitter(2); + let merger = context.createChannelMerger(5); + + source.connect(panner); + // Split the output of the panner to separate channels + panner.connect(splitter); + + // Merge the panner outputs and the z-coordinate output to the correct + // destination channels. + splitter.connect(merger, 0, 0); + splitter.connect(merger, 1, 1); + gainX.connect(merger, 0, 2); + gainY.connect(merger, 0, 3); + gainZ.connect(merger, 0, 4); + + merger.connect(context.destination); + + // Initialize starting point of the panner. + panner.positionX.setValueAtTime(options.startPosition[0], 0); + panner.positionY.setValueAtTime(options.startPosition[1], 0); + panner.positionZ.setValueAtTime(options.startPosition[2], 0); + + // Automate z coordinate to move away from the listener + panner.positionX.linearRampToValueAtTime( + options.endPosition[0], 0.75 * renderDuration); + panner.positionY.linearRampToValueAtTime( + options.endPosition[1], 0.75 * renderDuration); + panner.positionZ.linearRampToValueAtTime( + options.endPosition[2], 0.75 * renderDuration); + + source.start(); + + // Go! + return context.startRendering().then(function(renderedBuffer) { + // Get the panner outputs + let data0 = renderedBuffer.getChannelData(0); + let data1 = renderedBuffer.getChannelData(1); + let xcoord = renderedBuffer.getChannelData(2); + let ycoord = renderedBuffer.getChannelData(3); + let zcoord = renderedBuffer.getChannelData(4); + + // We're doing a linear ramp on the Z axis with the equalpower panner, + // so the equalpower panning gain remains constant. We only need to + // model the distance effect. + + // Compute the distance gain + let distanceGain = new Float32Array(xcoord.length); + ; + + if (panner.distanceModel === 'inverse') { + for (let k = 0; k < distanceGain.length; ++k) { + distanceGain[k] = + inverseDistance(panner, xcoord[k], ycoord[k], zcoord[k]) + } + } else if (panner.distanceModel === 'linear') { + for (let k = 0; k < distanceGain.length; ++k) { + distanceGain[k] = + linearDistance(panner, xcoord[k], ycoord[k], zcoord[k]) + } + } else if (panner.distanceModel === 'exponential') { + for (let k = 0; k < distanceGain.length; ++k) { + distanceGain[k] = + exponentialDistance(panner, xcoord[k], ycoord[k], zcoord[k]) + } + } + + // Compute the expected result. Since we're on the z-axis, the left + // and right channels pass through the equalpower panner unchanged. + // Only need to apply the distance gain. + let buffer0 = source.buffer.getChannelData(0); + let buffer1 = + channelCount == 2 ? source.buffer.getChannelData(1) : buffer0; + + let azimuth = new Float32Array(buffer0.length); + + for (let k = 0; k < data0.length; ++k) { + azimuth[k] = calculateAzimuth( + [xcoord[k], ycoord[k], zcoord[k]], + [ + context.listener.positionX.value, + context.listener.positionY.value, + context.listener.positionZ.value + ], + [ + context.listener.forwardX.value, + context.listener.forwardY.value, + context.listener.forwardZ.value + ], + [ + context.listener.upX.value, context.listener.upY.value, + context.listener.upZ.value + ]); + } + + let expected = applyPanner(azimuth, buffer0, buffer1, channelCount); + let expected0 = expected.left; + let expected1 = expected.right; + + for (let k = 0; k < expected0.length; ++k) { + expected0[k] *= distanceGain[k]; + expected1[k] *= distanceGain[k]; + } + + let info = options.distanceModel.model + + ', rolloff: ' + options.distanceModel.rolloff; + let prefix = channelCount + '-channel ' + + '[' + options.startPosition[0] + ', ' + options.startPosition[1] + + ', ' + options.startPosition[2] + '] -> [' + + options.endPosition[0] + ', ' + options.endPosition[1] + ', ' + + options.endPosition[2] + ']: '; + + let errorThreshold = 0; + + if (options.errorThreshold) + errorThreshold = options.errorThreshold[channelCount - 1] + + should(data0, prefix + 'distanceModel: ' + info + ', left channel') + .beCloseToArray(expected0, {absoluteThreshold: errorThreshold}); + should(data1, prefix + 'distanceModel: ' + info + ', right channel') + .beCloseToArray(expected1, {absoluteThreshold: errorThreshold}); + }); + } + </script> + </body> +</html> |