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| 1 <!doctype html> |
| 2 <html> |
| 3 <head> |
| 4 <script src="../resources/js-test.js"></script> |
| 5 <script src="resources/compatibility.js"></script> |
| 6 <script src="resources/audio-testing.js"></script> |
| 7 <script src="resources/panner-formulas.js"></script> |
| 8 <title>Test Automation of SpatialPanner Position</title> |
| 9 </head> |
| 10 |
| 11 <body> |
| 12 <script> |
| 13 description("Test Automation of SpatialPannerNode Position."); |
| 14 window.jsTestIsAsync = true; |
| 15 |
| 16 var sampleRate = 48000; |
| 17 // These tests are quite slow, so don't run for many frames. 256 frames s
hould be enough to |
| 18 // demonstrate that automations are working. |
| 19 var renderFrames = 256; |
| 20 var renderDuration = renderFrames / sampleRate; |
| 21 |
| 22 var context; |
| 23 var panner; |
| 24 |
| 25 var audit = Audit.createTaskRunner(); |
| 26 |
| 27 audit.defineTask("z only", function (done) { |
| 28 runTest({ |
| 29 distanceModel: { |
| 30 model: "inverse", |
| 31 rolloff: 1 |
| 32 }, |
| 33 startPosition: [0, 0, 1], |
| 34 endPosition: [0, 0, 10000], |
| 35 }) |
| 36 .then(done); |
| 37 }); |
| 38 |
| 39 audit.defineTask("inverse", function (done) { |
| 40 runTest({ |
| 41 distanceModel: { |
| 42 model: "inverse", |
| 43 rolloff: 1 |
| 44 }, |
| 45 startPosition: [0, 0, 1], |
| 46 endPosition: [20000, 20000, 20000], |
| 47 errorThreshold: { relativeThreshold: 4.0842e-7} |
| 48 }) |
| 49 .then(done); |
| 50 }); |
| 51 |
| 52 audit.defineTask("exponential", function (done) { |
| 53 runTest({ |
| 54 distanceModel: { |
| 55 model: "exponential", |
| 56 rolloff: 1.5 |
| 57 }, |
| 58 startPosition: [0, 0, 1], |
| 59 endPosition: [20000, 20000, 20000], |
| 60 errorThreshold: { relativeThreshold: 3.4117e-7} |
| 61 }) |
| 62 .then(done); |
| 63 }); |
| 64 |
| 65 audit.defineTask("linear", function (done) { |
| 66 runTest({ |
| 67 distanceModel: { |
| 68 model: "linear", |
| 69 rolloff: 1 |
| 70 }, |
| 71 startPosition: [0, 0, 1], |
| 72 endPosition: [20000, 20000, 20000], |
| 73 errorThreshold: { relativeThreshold: 6.5756e-6} |
| 74 }) |
| 75 .then(done); |
| 76 }); |
| 77 |
| 78 audit.defineTask("finish", function (done) { |
| 79 finishJSTest(); |
| 80 done(); |
| 81 }); |
| 82 |
| 83 audit.runTasks(); |
| 84 |
| 85 function runTest(options) { |
| 86 // Output has 5 channels: channels 0 and 1 are for the stereo output of
the panner node. |
| 87 // Channels 2-5 are the for automation of the x,y,z coordinate so that w
e have actual |
| 88 // coordinates used for the panner automation. |
| 89 context = new OfflineAudioContext(5, renderFrames, sampleRate); |
| 90 |
| 91 // Stereo source for the panner. |
| 92 var source = context.createBufferSource(); |
| 93 source.buffer = createConstantBuffer(context, renderFrames, [1, 2]); |
| 94 |
| 95 panner = context.createPanner(); |
| 96 panner.distanceModel = options.distanceModel.model; |
| 97 panner.rolloffFactor = options.distanceModel.rolloff; |
| 98 panner.panningModel = "equalpower"; |
| 99 //console.log("distanceModel = " + panner.distanceModel); |
| 100 |
| 101 // Source and gain node for the z-coordinate calculation. |
| 102 var dist = context.createBufferSource(); |
| 103 dist.buffer = createConstantBuffer(context, 1, 1); |
| 104 dist.loop = true; |
| 105 var gainX = context.createGain(); |
| 106 var gainY = context.createGain(); |
| 107 var gainZ = context.createGain(); |
| 108 dist.connect(gainX); |
| 109 dist.connect(gainY); |
| 110 dist.connect(gainZ); |
| 111 |
| 112 // Set the gain automation to match the z-coordinate automation of the p
anner. |
| 113 gainX.gain.setValueAtTime(options.startPosition[0], 0); |
| 114 gainX.gain.linearRampToValueAtTime(options.endPosition[0], 0.75 * render
Duration); |
| 115 gainY.gain.setValueAtTime(options.startPosition[1], 0); |
| 116 gainY.gain.linearRampToValueAtTime(options.endPosition[1], 0.75 * render
Duration); |
| 117 gainZ.gain.setValueAtTime(options.startPosition[2], 0); |
| 118 gainZ.gain.linearRampToValueAtTime(options.endPosition[2], 0.75 * render
Duration); |
| 119 |
| 120 dist.start(); |
| 121 |
| 122 // Splitter and merger to map the panner output and the z-coordinate aut
omation to the |
| 123 // correct channels in the destination. |
| 124 var splitter = context.createChannelSplitter(2); |
| 125 var merger = context.createChannelMerger(5); |
| 126 |
| 127 source.connect(panner); |
| 128 // Split the output of the panner to separate channels |
| 129 panner.connect(splitter); |
| 130 |
| 131 // Merge the panner outputs and the z-coordinate output to the correct d
estination channels. |
| 132 splitter.connect(merger, 0, 0); |
| 133 splitter.connect(merger, 1, 1); |
| 134 gainX.connect(merger, 0, 2); |
| 135 gainY.connect(merger, 0, 3); |
| 136 gainZ.connect(merger, 0, 4); |
| 137 |
| 138 merger.connect(context.destination); |
| 139 |
| 140 // Initialize starting point of the panner. |
| 141 panner.positionX.setValueAtTime(options.startPosition[0], 0); |
| 142 panner.positionY.setValueAtTime(options.startPosition[1], 0); |
| 143 panner.positionZ.setValueAtTime(options.startPosition[2], 0); |
| 144 |
| 145 // Automate z coordinate to move away from the listener |
| 146 panner.positionX.linearRampToValueAtTime(options.endPosition[0], 0.75 *
renderDuration); |
| 147 panner.positionY.linearRampToValueAtTime(options.endPosition[1], 0.75 *
renderDuration); |
| 148 panner.positionZ.linearRampToValueAtTime(options.endPosition[2], 0.75 *
renderDuration); |
| 149 |
| 150 source.start(); |
| 151 |
| 152 // Go! |
| 153 return context.startRendering() |
| 154 .then(function (renderedBuffer) { |
| 155 // Get the panner outputs |
| 156 var data0 = renderedBuffer.getChannelData(0); |
| 157 var data1 = renderedBuffer.getChannelData(1); |
| 158 var xcoord = renderedBuffer.getChannelData(2); |
| 159 var ycoord = renderedBuffer.getChannelData(3); |
| 160 var zcoord = renderedBuffer.getChannelData(4); |
| 161 |
| 162 //console.log("data0"); |
| 163 //console.log(data0); |
| 164 |
| 165 // We're doing a linear ramp on the Z axis with the equalpower panne
r, so the equalpower |
| 166 // panning gain remains constant. We only need to model the distanc
e effect. |
| 167 |
| 168 //console.log("zcoord"); |
| 169 //console.log(zcoord); |
| 170 |
| 171 // Compute the distance gain |
| 172 var distanceGain = new Float32Array(xcoord.length);; |
| 173 |
| 174 if (panner.distanceModel === "inverse") { |
| 175 for (var k = 0; k < distanceGain.length; ++k) { |
| 176 distanceGain[k] = inverseDistance(panner, xcoord[k], ycoord[k],
zcoord[k]) |
| 177 } |
| 178 } else if (panner.distanceModel === "linear") { |
| 179 for (var k = 0; k < distanceGain.length; ++k) { |
| 180 distanceGain[k] = linearDistance(panner, xcoord[k], ycoord[k], z
coord[k]) |
| 181 } |
| 182 } else if (panner.distanceModel === "exponential") { |
| 183 for (var k = 0; k < distanceGain.length; ++k) { |
| 184 distanceGain[k] = exponentialDistance(panner, xcoord[k], ycoord[
k], zcoord[k]) |
| 185 } |
| 186 } |
| 187 |
| 188 //console.log("distanceGain"); |
| 189 //console.log(distanceGain); |
| 190 // Compute the expected result. Since we're on the z-axis, the left
and right channels |
| 191 // pass through the equalpower panner unchanged. Only need to apply
the distance gain. |
| 192 var buffer0 = source.buffer.getChannelData(0); |
| 193 var buffer1 = source.buffer.getChannelData(1); |
| 194 |
| 195 var azimuth = new Float32Array(buffer0.length); |
| 196 |
| 197 for (var k = 0; k < data0.length; ++k) { |
| 198 azimuth[k] = calculateAzimuth( |
| 199 [xcoord[k], ycoord[k], zcoord[k]], [context.listener.positionX.v
alue, |
| 200 context.listener.positionY.value, |
| 201 context.listener.positionZ.value |
| 202 ], [context.listener.forwardX.value, |
| 203 context.listener.forwardY.value, |
| 204 context.listener.forwardZ.value |
| 205 ], [context.listener.upX.value, |
| 206 context.listener.upY.value, |
| 207 context.listener.upZ.value |
| 208 ]); |
| 209 } |
| 210 |
| 211 var expected = applyPanner(azimuth, buffer0, buffer1, 2); |
| 212 var expected0 = expected.left; |
| 213 var expected1 = expected.right; |
| 214 |
| 215 for (var k = 0; k < expected0.length; ++k) { |
| 216 expected0[k] *= distanceGain[k]; |
| 217 expected1[k] *= distanceGain[k]; |
| 218 } |
| 219 |
| 220 var info = options.distanceModel.model + ", rolloff: " + options.dis
tanceModel.rolloff; |
| 221 var prefix = "[" + options.startPosition[0] + ", "; |
| 222 prefix += options.startPosition[1] + ", "; |
| 223 prefix += options.startPosition[2]; |
| 224 prefix += "] -> ["; |
| 225 prefix += options.endPosition[0] + ", "; |
| 226 prefix += options.endPosition[1] + ", "; |
| 227 prefix += options.endPosition[2] + "]: "; |
| 228 |
| 229 |
| 230 |
| 231 Should(prefix + "distanceModel: " + info + ", left channel", data0,
{ |
| 232 verbose: true |
| 233 }) |
| 234 .beCloseToArray(expected0, options.errorThreshold || 0); |
| 235 Should(prefix + "distanceModel: " + info + ", right channel", data1,
{ |
| 236 verbose: true |
| 237 }) |
| 238 .beCloseToArray(expected1, options.errorThreshold || 0); |
| 239 }); |
| 240 } |
| 241 </script> |
| 242 </body> |
| 243 </html> |
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