541 lines
23 KiB
JavaScript
541 lines
23 KiB
JavaScript
import { computeBinMap, computeDasMap, createDistanceMatrix } from "/packages/acoustics-core/das.js";
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import { fftInPlace, fftReal } from "/packages/acoustics-core/fft.js";
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import {
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addFrequencyDomainDelay,
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createDelayWorkspace,
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prepareDelaySpectrum,
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} from "/packages/acoustics-core/fractional-delay.js";
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import { dbToLinear, distance3 } from "/packages/acoustics-core/math.js";
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import { renderSceneMix } from "/packages/acoustics-core/mixdown.js";
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import { whiteNoiseAt } from "/packages/acoustics-core/noise.js";
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import { sphericalAttenuation, synthesizeMicrophoneSignals } from "/packages/acoustics-core/propagation.js";
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import { renderSignal } from "/packages/acoustics-core/signal.js";
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import { getFrameCount } from "/packages/acoustics-core/stft.js";
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import {
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createQuasiStaticWindows,
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sampleQuasiStaticWindow,
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sceneAtTime,
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sourcePositionAtTime,
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} from "/packages/acoustics-core/trajectory.js";
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import { encodeMonoPcm16Wav } from "/packages/acoustics-core/wav.js";
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function assertNear(actual, expected, tolerance, label) {
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assert(Math.abs(actual - expected) <= tolerance, `${label}: expected ${expected} ± ${tolerance}, received ${actual}`);
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}
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function rms(values, start = 0, end = values.length) {
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let sum = 0;
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for (let index = start; index < end; index += 1) sum += values[index] ** 2;
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return Math.sqrt(sum / (end - start));
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}
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function createArray(columns, rows, width, height) {
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const microphones = [];
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for (let row = 0; row < rows; row += 1) {
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for (let column = 0; column < columns; column += 1) {
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microphones.push({
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id: `mic-${row}-${column}`,
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position: [
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-width / 2 + (column * width) / (columns - 1),
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-height / 2 + (row * height) / (rows - 1),
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0,
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],
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});
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}
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}
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return { id: "test-array", aperture: { width, height }, microphones };
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}
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test("trajectory 위치를 선형 보간하고 시간창 중앙에서 준정적으로 샘플링한다", () => {
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const source = {
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position: [9, 8, 7],
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trajectory: [
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{ time: 0.2, position: [-1, 0, 2] },
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{ time: 0.6, position: [1, 2, 4] },
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{ time: 1, position: [3, 0, 2] },
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],
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};
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assertEqual(sourcePositionAtTime({ position: [4, 5, 6] }, 0.5).join(","), "4,5,6", "fixed fallback");
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assertEqual(sourcePositionAtTime(source, 0).join(","), "-1,0,2", "before first keyframe");
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assertEqual(sourcePositionAtTime(source, 1.5).join(","), "3,0,2", "after last keyframe");
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const interpolated = sourcePositionAtTime(source, 0.4);
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assertNear(interpolated[0], 0, 1e-12, "interpolated x");
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assertNear(interpolated[1], 1, 1e-12, "interpolated y");
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assertNear(interpolated[2], 3, 1e-12, "interpolated z");
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const scene = { duration: 1, sources: [source] };
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const sampled = sceneAtTime(scene, 0.4);
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assert(sampled !== scene && sampled.sources[0] !== source, "sceneAtTime is immutable");
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assertEqual(source.position.join(","), "9,8,7", "original fallback position is unchanged");
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assertEqual(sampled.sources[0].trajectory, source.trajectory, "trajectory is preserved");
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assertNear(sampled.sources[0].position[0], 0, 1e-12, "sampled scene x");
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assertNear(sampled.sources[0].position[1], 1, 1e-12, "sampled scene y");
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assertNear(sampled.sources[0].position[2], 3, 1e-12, "sampled scene z");
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const windows = createQuasiStaticWindows(scene, { windowDuration: 0.4, hopDuration: 0.4 });
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assertEqual(windows.length, 3, "partial final window");
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assertNear(windows[0].sampleTime, 0.2, 1e-12, "first midpoint");
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assertNear(windows[1].sampleTime, 0.6, 1e-12, "second midpoint");
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assertNear(windows[2].sampleTime, 0.9, 1e-12, "partial midpoint");
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assertNear(windows[2].duration, 0.2, 1e-12, "partial duration");
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assertNear(windows[1].scene.sources[0].position[0], 1, 1e-12, "window x");
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assertNear(windows[1].scene.sources[0].position[1], 2, 1e-12, "window y");
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assertNear(windows[1].scene.sources[0].position[2], 4, 1e-12, "window z");
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});
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test("trajectory가 없는 sceneAtTime snapshot은 기존 합성 결과와 sample 단위로 동일하다", () => {
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const scene = {
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sampleRate: 8000,
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duration: 0.01,
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speedOfSound: 343,
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seed: 17,
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mix: { normalization: "none", targetPeak: 0.95 },
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sources: [{
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id: "fixed", name: "fixed", position: [0.1, -0.2, 1.2], gainDb: -12, startTime: 0, duration: 0.01,
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signal: { type: "tone", frequency: 750, phaseDeg: 35 },
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}],
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ambient: [],
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};
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const arrayDefinition = {
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microphones: [
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{ id: "left", position: [-0.1, 0, 0] },
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{ id: "right", position: [0.1, 0, 0], sensitivityDb: -1, phaseOffsetDeg: 3 },
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],
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};
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const baseline = synthesizeMicrophoneSignals({ scene, arrayDefinition });
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const sampled = synthesizeMicrophoneSignals({ scene: sceneAtTime(scene, 0.007), arrayDefinition });
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assertEqual(sampled.appliedScale, baseline.appliedScale, "applied scale");
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assertEqual(sampled.preNormalizationPeak, baseline.preNormalizationPeak, "pre-normalization peak");
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baseline.channels.forEach((channel, channelIndex) => {
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channel.forEach((value, sampleIndex) => {
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assertEqual(sampled.channels[channelIndex][sampleIndex], value, `channel ${channelIndex} sample ${sampleIndex}`);
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});
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});
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});
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test("거리, dB와 구면 감쇠 기본식을 계산한다", () => {
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assertNear(distance3([0, 0, 0], [1, 2, 2]), 3, 1e-12, "distance");
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assertNear(dbToLinear(-6.020599913), 0.5, 1e-9, "dB amplitude");
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assertNear(sphericalAttenuation(2), 0.5, 1e-12, "1/r attenuation");
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});
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test("index 기반 noise가 seed에 대해 결정적이다", () => {
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const first = Array.from({ length: 16 }, (_, index) => whiteNoiseAt(42, index));
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const second = Array.from({ length: 16 }, (_, index) => whiteNoiseAt(42, index));
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assert(first.every((value, index) => value === second[index]));
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assert(first.some((value, index) => value !== whiteNoiseAt(43, index)));
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});
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test("radix-2 FFT가 정확한 tone bin을 찾는다", () => {
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const size = 128;
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const bin = 16;
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const samples = Float64Array.from({ length: size }, (_, index) => Math.sin((2 * Math.PI * bin * index) / size));
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const spectrum = fftReal(samples);
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const magnitude = Math.hypot(spectrum.real[bin], spectrum.imaginary[bin]);
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assertNear(magnitude, size / 2, 1e-8, "tone magnitude");
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assertNear(spectrum.real[bin], 0, 1e-8, "forward real sign");
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assertNear(spectrum.imaginary[bin], -size / 2, 1e-8, "forward imaginary sign");
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assert(Math.hypot(spectrum.real[bin - 1], spectrum.imaginary[bin - 1]) < 1e-8, "adjacent leakage");
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fftInPlace(spectrum.real, spectrum.imaginary, true);
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samples.forEach((value, index) => assertNear(spectrum.real[index], value, 1e-9, `inverse sample ${index}`));
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});
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test("FFT phase shift가 integer와 fractional delay를 적용한다", () => {
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const impulse = new Float32Array(16);
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impulse[2] = 1;
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const impulseSpectrum = prepareDelaySpectrum(impulse, 3);
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const impulseOutput = new Float32Array(16);
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addFrequencyDomainDelay({
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output: impulseOutput,
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spectrum: impulseSpectrum,
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delaySamples: 3,
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workspace: createDelayWorkspace(impulseSpectrum.fftSize),
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});
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assertNear(impulseOutput[5], 1, 1e-6, "integer delayed impulse");
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const size = 512;
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const frequencyCyclesPerSample = 1 / 8;
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const tone = Float32Array.from({ length: size }, (_, index) => Math.sin(2 * Math.PI * frequencyCyclesPerSample * index));
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const toneSpectrum = prepareDelaySpectrum(tone, 2.5);
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const delayedTone = new Float32Array(size);
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addFrequencyDomainDelay({
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output: delayedTone,
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spectrum: toneSpectrum,
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delaySamples: 2.5,
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workspace: createDelayWorkspace(toneSpectrum.fftSize),
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});
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let squaredError = 0;
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let count = 0;
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for (let index = 48; index < size - 48; index += 1) {
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const expected = Math.sin(2 * Math.PI * frequencyCyclesPerSample * (index - 2.5));
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squaredError += (delayedTone[index] - expected) ** 2;
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count += 1;
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}
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assert(Math.sqrt(squaredError / count) < 1e-3, "fractional delay RMS error");
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});
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test("STFT frame count가 마지막 partial tail을 포함한다", () => {
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assertEqual(getFrameCount(512, 512, 256), 1);
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assertEqual(getFrameCount(513, 512, 256), 2);
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assertEqual(getFrameCount(12000, 512, 256), 46);
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});
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test("구면 전파가 거리별 지연과 1/r 진폭비를 적용한다", () => {
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const scene = {
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sampleRate: 8000,
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duration: 0.02,
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speedOfSound: 400,
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seed: 1,
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mix: { normalization: "none", targetPeak: 0.95 },
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sources: [{
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id: "tone", name: "tone", position: [0, 0, 0.1], gainDb: -40, startTime: 0, duration: 0.02,
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signal: { type: "tone", frequency: 500, phaseDeg: 0 },
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}],
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ambient: [],
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};
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const arrayDefinition = {
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microphones: [
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{ id: "near", position: [0, 0, 0.05] },
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{ id: "far", position: [0, 0, 0] },
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],
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};
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const result = synthesizeMicrophoneSignals({ scene, arrayDefinition });
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const emittedSampleOne = Math.sin((2 * Math.PI * 500) / 8000) * dbToLinear(-40);
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assertNear(result.channels[0][1], 0, 1e-7, "one-sample propagation delay");
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assertNear(result.channels[0][2], emittedSampleOne * 20, 1e-5, "near analytic delayed sample");
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assertNear(result.channels[1][3], emittedSampleOne * 10, 1e-5, "far analytic delayed sample");
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assertNear(rms(result.channels[0], 16, 150) / rms(result.channels[1], 16, 150), 2, 0.02, "distance amplitude ratio");
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});
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test("peak mix 정규화와 channel buffer 한도를 적용한다", () => {
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const scene = {
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sampleRate: 8000,
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duration: 0.02,
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speedOfSound: 343,
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seed: 1,
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mix: { normalization: "peak", targetPeak: 0.5 },
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sources: [{
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id: "tone", name: "tone", position: [0, 0, 1], gainDb: 6, startTime: 0, duration: 0.02,
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signal: { type: "tone", frequency: 500, phaseDeg: 0 },
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}],
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ambient: [],
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};
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const arrayDefinition = { microphones: [{ id: "mic", position: [0, 0, 0] }] };
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const result = synthesizeMicrophoneSignals({ scene, arrayDefinition });
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assertNear(result.peak, 0.5, 1e-6, "normalized peak");
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assert(result.appliedScale < 1);
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let error;
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try {
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synthesizeMicrophoneSignals({ scene, arrayDefinition, maximumBufferBytes: 1 });
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} catch (caught) {
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error = caught;
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}
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assert(error instanceof Error && error.message.includes("한도"), "buffer limit error");
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});
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test("ambient에도 microphone gain과 phase calibration 편차를 적용한다", () => {
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const scene = {
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sampleRate: 8000,
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duration: 0.02,
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speedOfSound: 343,
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seed: 1,
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mix: { normalization: "none", targetPeak: 0.95 },
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sources: [],
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ambient: [{ id: "ambient", gainDb: -20, signal: { type: "tone", frequency: 500, phaseDeg: 0 } }],
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};
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const arrayDefinition = {
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microphones: [{ id: "calibrated", position: [0, 0, 0], sensitivityDb: 6, phaseOffsetDeg: 90 }],
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};
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const result = synthesizeMicrophoneSignals({ scene, arrayDefinition });
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const expected = dbToLinear(-20) * dbToLinear(6);
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assertNear(result.channels[0][80], expected, 4e-3, "ambient calibrated sample");
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});
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test("CPU DAS peak가 calibration 후 단일 tone의 실제 grid 위치를 찾는다", async () => {
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const arrayDefinition = createArray(4, 4, 0.3, 0.3);
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arrayDefinition.microphones.forEach((microphone, index) => {
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microphone.sensitivityDb = (index % 3) * 2 - 2;
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microphone.phaseOffsetDeg = (index % 5) * 8 - 16;
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});
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const scene = {
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id: "das-scene",
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sampleRate: 8000,
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duration: 0.128,
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speedOfSound: 343,
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seed: 7,
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mix: { normalization: "none", targetPeak: 0.95 },
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sources: [{
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id: "source", name: "source", position: [0.1, 0.1, 1.5], gainDb: -12, startTime: 0, duration: 0.128,
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signal: { type: "tone", frequency: 1000, phaseDeg: 0 },
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}],
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ambient: [],
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};
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const experiment = {
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stft: { fftSize: 256, hopSize: 128, window: "hann" },
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scan: { z: 1.5, xMin: -0.4, xMax: 0.4, yMin: -0.4, yMax: 0.4, columns: 17, rows: 17 },
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frequencyBands: [{ id: "1k", minHz: 990, maxHz: 1010, color: "#65f2bf" }],
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beamforming: { normalization: "peak" },
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};
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const synthesis = synthesizeMicrophoneSignals({ scene, arrayDefinition });
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const progressEvents = [];
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const result = await computeDasMap({
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channels: synthesis.channels,
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sampleRate: synthesis.sampleRate,
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arrayDefinition,
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scene,
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experiment,
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onProgress: (progress) => progressEvents.push(progress),
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});
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const peakPosition = result.bands[0].peak.position;
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assert(distance3(peakPosition, scene.sources[0].position) <= 0.071, `peak=${peakPosition.join(",")}`);
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assert(result.bands[0].rawMap !== result.bands[0].displayMap, "raw/display buffers are separate");
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assertNear(Math.max(...result.bands[0].rawMap), result.bands[0].peak.rawPower, 1e-4, "raw map peak");
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assertNear(Math.max(...result.bands[0].displayMap), 1, 1e-6, "normalized display peak");
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assert(progressEvents.some(({ stage }) => stage === "beamforming"), "beamforming progress");
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});
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test("독립 복소 spectrum fixture에서 DAS steering 부호가 맞다", async () => {
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const arrayDefinition = {
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microphones: [
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{ id: "left", position: [-0.15, 0, 0] },
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{ id: "middle", position: [-0.02, 0, 0] },
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{ id: "right", position: [0.12, 0, 0] },
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],
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};
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const scan = { z: 1, xMin: -0.2, xMax: 0.2, yMin: 0, yMax: 0, columns: 2, rows: 1 };
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const target = [0.2, 0, 1];
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const sampleRate = 8000;
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const fftSize = 256;
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const bin = 32;
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const frequency = (bin * sampleRate) / fftSize;
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const speedOfSound = 343;
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const spectrum = { real: new Float32Array(3), imaginary: new Float32Array(3) };
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arrayDefinition.microphones.forEach((microphone, index) => {
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const phase = (2 * Math.PI * frequency * distance3(target, microphone.position)) / speedOfSound;
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spectrum.real[index] = Math.cos(-phase);
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spectrum.imaginary[index] = Math.sin(-phase);
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});
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const map = await computeBinMap({
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bin,
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spectrum,
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frameCount: 1,
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arrayDefinition,
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pointCount: 2,
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distances: createDistanceMatrix(arrayDefinition, scan),
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sampleRate,
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fftSize,
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speedOfSound,
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pointBatchSize: 64,
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});
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assertNear(map[1], 1, 1e-6, "target coherent power");
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assert(map[1] > map[0] * 1.1, `wrong-sign alternative power=${map[0]}`);
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});
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test("CPU DAS가 event-loop 취소와 working-set 한도를 지킨다", async () => {
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const arrayDefinition = createArray(2, 2, 0.2, 0.2);
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const scene = { speedOfSound: 343 };
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const experiment = {
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stft: { fftSize: 128, hopSize: 64, window: "hann" },
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scan: { z: 1, xMin: -0.2, xMax: 0.2, yMin: -0.2, yMax: 0.2, columns: 17, rows: 17 },
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frequencyBands: [{ id: "tone", minHz: 490, maxHz: 510, color: "#65f2bf" }],
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beamforming: { normalization: "peak" },
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};
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const channels = arrayDefinition.microphones.map(() => new Float32Array(512));
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let memoryError;
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try {
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await computeDasMap({ channels, sampleRate: 8000, arrayDefinition, scene, experiment, maximumWorkingBytes: 1 });
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} catch (error) {
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memoryError = error;
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}
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assert(memoryError instanceof Error && memoryError.message.includes("working set"), "working-set guard");
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const controller = new AbortController();
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let stftStarted = false;
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let abortScheduled = false;
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const pending = computeDasMap({
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channels,
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sampleRate: 8000,
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arrayDefinition,
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scene,
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experiment,
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signal: controller.signal,
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pointBatchSize: 1,
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stftTransformBatchSize: 1,
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onProgress: (progress) => {
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if (progress.stage === "stft" && progress.completedTransforms > 0 && !abortScheduled) {
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stftStarted = true;
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abortScheduled = true;
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setTimeout(() => controller.abort(), 0);
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}
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},
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});
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let abortError;
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try {
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await pending;
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} catch (error) {
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abortError = error;
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}
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assert(stftStarted, "STFT started before abort");
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assert(abortError?.name === "AbortError", "async abort");
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});
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test("scene mix가 peak 정규화와 clipping 통계를 정확히 기록한다", () => {
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const assetBuffers = new Map([
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["levels", { sampleRate: 4, channels: [Float32Array.of(2, -1.5, 1, -0.5)] }],
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]);
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const scene = {
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sampleRate: 4,
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duration: 1,
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seed: 1,
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mix: { normalization: "peak", targetPeak: 0.5 },
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sources: [{
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id: "levels",
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gainDb: 0,
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startTime: 0,
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duration: 1,
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signal: { type: "asset", assetId: "levels" },
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}],
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ambient: [],
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};
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const normalized = renderSceneMix(scene, assetBuffers);
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assertNear(normalized.preNormalizationPeak, 2, 1e-12, "pre-normalization peak");
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assertNear(normalized.appliedScale, 0.25, 1e-12, "normalization scale");
|
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assertNear(normalized.peak, 0.5, 1e-12, "normalized peak");
|
|
assertEqual(normalized.clippedSampleCount, 0, "normalized clipping count");
|
|
[0.5, -0.375, 0.25, -0.125].forEach((expected, index) => {
|
|
assertNear(normalized.samples[index], expected, 1e-12, `normalized sample ${index}`);
|
|
});
|
|
|
|
const unnormalized = renderSceneMix({ ...scene, mix: { normalization: "none", targetPeak: 0.5 } }, assetBuffers);
|
|
assertNear(unnormalized.preNormalizationPeak, 2, 1e-12, "unnormalized input peak");
|
|
assertNear(unnormalized.appliedScale, 1, 1e-12, "unnormalized scale");
|
|
assertNear(unnormalized.peak, 2, 1e-12, "unnormalized output peak");
|
|
assertEqual(unnormalized.clippedSampleCount, 2, "unnormalized clipping count");
|
|
});
|
|
|
|
test("PCM16 WAV가 표준 mono header를 쓰고 범위 밖 sample을 clamp한다", async () => {
|
|
const blob = encodeMonoPcm16Wav(Float32Array.of(-2, -1, -0.5, 0, 0.5, 1, 2), 8000);
|
|
const buffer = await blob.arrayBuffer();
|
|
const bytes = new Uint8Array(buffer);
|
|
const view = new DataView(buffer);
|
|
const ascii = (offset, length) => String.fromCharCode(...bytes.subarray(offset, offset + length));
|
|
|
|
assertEqual(blob.type, "audio/wav", "WAV MIME type");
|
|
assertEqual(buffer.byteLength, 58, "WAV byte length");
|
|
assertEqual(ascii(0, 4), "RIFF", "RIFF id");
|
|
assertEqual(view.getUint32(4, true), 50, "RIFF chunk size");
|
|
assertEqual(ascii(8, 4), "WAVE", "WAVE id");
|
|
assertEqual(ascii(12, 4), "fmt ", "fmt id");
|
|
assertEqual(view.getUint32(16, true), 16, "PCM fmt chunk size");
|
|
assertEqual(view.getUint16(20, true), 1, "PCM format");
|
|
assertEqual(view.getUint16(22, true), 1, "mono channel count");
|
|
assertEqual(view.getUint32(24, true), 8000, "sample rate");
|
|
assertEqual(view.getUint32(28, true), 16000, "byte rate");
|
|
assertEqual(view.getUint16(32, true), 2, "block align");
|
|
assertEqual(view.getUint16(34, true), 16, "bits per sample");
|
|
assertEqual(ascii(36, 4), "data", "data id");
|
|
assertEqual(view.getUint32(40, true), 14, "PCM data byte length");
|
|
|
|
const actualSamples = Array.from({ length: 7 }, (_, index) => view.getInt16(44 + index * 2, true));
|
|
const expectedSamples = [-32768, -32768, -16384, 0, 16383, 32767, 32767];
|
|
expectedSamples.forEach((expected, index) => {
|
|
assertEqual(actualSamples[index], expected, `PCM sample ${index}`);
|
|
});
|
|
});
|
|
|
|
test("quasi-static synthesis window aligns samples, clips activity, and samples midpoint positions", () => {
|
|
const scene = {
|
|
sampleRate: 10,
|
|
duration: 1,
|
|
sources: [
|
|
{ id: "ended", position: [0, 0, 1], startTime: 0, duration: 0.2, signal: { type: "tone", frequency: 1 } },
|
|
{
|
|
id: "active", position: [0, 0, 1], startTime: 0.15, duration: 0.5,
|
|
trajectory: [
|
|
{ time: 0, position: [0, 0, 1] },
|
|
{ time: 1, position: [1, 2, 3] },
|
|
],
|
|
signal: { type: "tone", frequency: 1 },
|
|
},
|
|
{ id: "starts-inside", position: [0, 0, 1], startTime: 0.45, duration: 0.2, signal: { type: "tone", frequency: 1 } },
|
|
{ id: "later", position: [0, 0, 1], startTime: 0.8, duration: 0.1, signal: { type: "tone", frequency: 1 } },
|
|
],
|
|
ambient: [{ id: "room", signal: { type: "noise", color: "white" } }],
|
|
};
|
|
|
|
const window = sampleQuasiStaticWindow(scene, 0.21, 0.69);
|
|
assertEqual(window.startSample, 3, "aligned start sample");
|
|
assertEqual(window.endSample, 7, "aligned end sample");
|
|
assertEqual(window.sampleCount, 4, "window sample count");
|
|
assertNear(window.scene.duration, 0.4, 1e-12, "short scene duration");
|
|
assertEqual(window.scene.sources.map(({ id }) => id).join(","), "active,starts-inside", "active sources");
|
|
assertNear(window.scene.sources[0].position[0], 0.5, 1e-12, "midpoint x");
|
|
assertNear(window.scene.sources[0].position[1], 1, 1e-12, "midpoint y");
|
|
assertNear(window.scene.sources[0].startTime, 0, 1e-12, "active local start");
|
|
assertNear(window.scene.sources[0].duration, 0.4, 1e-12, "active clipped duration");
|
|
assertNear(window.scene.sources[1].startTime, 0.2, 1e-12, "inside local start");
|
|
assertNear(window.scene.sources[1].duration, 0.2, 1e-12, "inside clipped duration");
|
|
assertEqual(window.signalOffsets.sceneSampleOffset, 3, "absolute output origin");
|
|
assertNear(window.signalOffsets.sources[0].signalStartTime, 0.15, 1e-12, "signal time origin");
|
|
assertEqual(window.signalOffsets.sources[0].signalStartSample, 2, "signal sample origin");
|
|
assertEqual(window.signalOffsets.ambient.length, 1, "ambient offset count");
|
|
assertEqual(scene.sources.length, 4, "input scene is unchanged");
|
|
});
|
|
|
|
test("absolute scene windows preserve tone, noise, asset, ambient, and synthesis continuity", () => {
|
|
const scene = {
|
|
sampleRate: 16,
|
|
duration: 1,
|
|
speedOfSound: 343,
|
|
seed: 23,
|
|
mix: { normalization: "none", targetPeak: 0.95 },
|
|
sources: [
|
|
{ id: "tone", position: [0, 0, 0], gainDb: -3, startTime: 1 / 16, duration: 14 / 16, signal: { type: "tone", frequency: 3, phaseDeg: 27 } },
|
|
{ id: "noise", position: [0, 0, 0], gainDb: -6, startTime: 2 / 16, duration: 13 / 16, signal: { type: "noise", color: "pink", seedOffset: 9 } },
|
|
{ id: "asset-source", position: [0, 0, 0], gainDb: 0, startTime: 3 / 16, duration: 12 / 16, signal: { type: "asset", assetId: "clip", channel: 0, loop: true } },
|
|
],
|
|
ambient: [{ id: "ambient", gainDb: -9, signal: { type: "noise", color: "white", seedOffset: 4 } }],
|
|
};
|
|
const assetBuffers = new Map([["clip", {
|
|
sampleRate: 16,
|
|
channels: [Float32Array.from({ length: 7 }, (_, index) => (index - 3) / 4)],
|
|
}]]);
|
|
const window = sampleQuasiStaticWindow(scene, 4 / 16, 12 / 16);
|
|
|
|
scene.sources.forEach((source, index) => {
|
|
const whole = renderSignal(source, scene, assetBuffers);
|
|
const partial = renderSignal(window.scene.sources[index], window.scene, assetBuffers, 0, {
|
|
sceneSampleOffset: window.signalOffsets.sceneSampleOffset,
|
|
...window.signalOffsets.sources[index],
|
|
});
|
|
partial.forEach((value, sampleIndex) => {
|
|
assertEqual(value, whole[window.startSample + sampleIndex], `${source.id} sample ${sampleIndex}`);
|
|
});
|
|
});
|
|
|
|
const wholeAmbient = renderSignal(scene.ambient[0], scene, assetBuffers, 77);
|
|
const partialAmbient = renderSignal(window.scene.ambient[0], window.scene, assetBuffers, 77, {
|
|
sceneSampleOffset: window.signalOffsets.sceneSampleOffset,
|
|
...window.signalOffsets.ambient[0],
|
|
});
|
|
partialAmbient.forEach((value, sampleIndex) => {
|
|
assertEqual(value, wholeAmbient[window.startSample + sampleIndex], `ambient sample ${sampleIndex}`);
|
|
});
|
|
|
|
const arrayDefinition = { microphones: [{ id: "mic", position: [0, 0, 0] }] };
|
|
const wholeSynthesis = synthesizeMicrophoneSignals({ scene, arrayDefinition, assetBuffers, referenceDistance: 1, minimumDistance: 1 });
|
|
const partialSynthesis = synthesizeMicrophoneSignals({
|
|
scene: window.scene,
|
|
arrayDefinition,
|
|
assetBuffers,
|
|
signalOffsets: window.signalOffsets,
|
|
referenceDistance: 1,
|
|
minimumDistance: 1,
|
|
});
|
|
assertEqual(partialSynthesis.channels[0].length, window.sampleCount, "short synthesis length");
|
|
partialSynthesis.channels[0].forEach((value, sampleIndex) => {
|
|
assertNear(value, wholeSynthesis.channels[0][window.startSample + sampleIndex], 2e-5, `mic sample ${sampleIndex}`);
|
|
});
|
|
});
|