Fix float operations to make a little more sense.
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3 changed files with 18 additions and 24 deletions
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@ -49,16 +49,14 @@ export default class LiveRecordingWaveform extends React.PureComponent<IProps, I
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const bars = arrayFastResample(Array.from(update.waveform), DOWNSAMPLE_TARGET);
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this.setState({
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// The incoming data is between zero and one, but typically even screaming into a
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// microphone won't send you over 0.6, so we "cap" the graph at about 0.50 for a
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// point where the average user can still see feedback and be perceived as peaking
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// when talking "loudly".
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//
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// We multiply by 100 because the Waveform component wants values in 0-100 (percentages)
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heights: bars.map(b => percentageOf(b, 0, 0.50) * 100),
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// microphone won't send you over 0.6, so we artificially adjust the gain for the
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// waveform. This results in a slightly more cinematic/animated waveform for the
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// user.
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heights: bars.map(b => percentageOf(b, 0, 0.50)),
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});
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};
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public render() {
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return <Waveform heights={this.state.heights} />;
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return <Waveform relHeights={this.state.heights} />;
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}
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}
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@ -18,7 +18,7 @@ import React from "react";
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import {replaceableComponent} from "../../../utils/replaceableComponent";
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interface IProps {
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heights: number[]; // percentages as integers (0-100)
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relHeights: number[]; // relative heights (0-1)
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}
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interface IState {
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@ -37,8 +37,8 @@ export default class Waveform extends React.PureComponent<IProps, IState> {
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public render() {
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return <div className='mx_Waveform'>
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{this.props.heights.map((h, i) => {
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return <span key={i} style={{height: h + '%'}} className='mx_Waveform_bar' />;
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{this.props.relHeights.map((h, i) => {
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return <span key={i} style={{height: (h * 100) + '%'}} className='mx_Waveform_bar' />;
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})}
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</div>;
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}
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@ -19,6 +19,7 @@ import encoderPath from 'opus-recorder/dist/encoderWorker.min.js';
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import {MatrixClient} from "matrix-js-sdk/src/client";
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import CallMediaHandler from "../CallMediaHandler";
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import {SimpleObservable} from "matrix-widget-api";
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import {percentageOf} from "../utils/numbers";
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const CHANNELS = 1; // stereo isn't important
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const SAMPLE_RATE = 48000; // 48khz is what WebRTC uses. 12khz is where we lose quality.
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@ -133,23 +134,18 @@ export class VoiceRecorder {
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// The time domain is the input to the FFT, which means we use an array of the same
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// size. The time domain is also known as the audio waveform. We're ignoring the
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// output of the FFT here (frequency data) because we're not interested in it.
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//
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// We use bytes out of the analyser because floats have weird precision problems
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// and are slightly more difficult to work with. The bytes are easy to work with,
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// which is why we pick them (they're also more precise, but we care less about that).
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const data = new Uint8Array(this.recorderFFT.fftSize);
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this.recorderFFT.getByteTimeDomainData(data);
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const data = new Float32Array(this.recorderFFT.fftSize);
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this.recorderFFT.getFloatTimeDomainData(data);
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// Because we're dealing with a uint array we need to do math a bit differently.
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// If we just `Array.from()` the uint array, we end up with 1s and 0s, which aren't
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// what we're after. Instead, we have to use a bit of manual looping to correctly end
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// up with the right values
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// We can't just `Array.from()` the array because we're dealing with 32bit floats
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// and the built-in function won't consider that when converting between numbers.
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// However, the runtime will convert the float32 to a float64 during the math operations
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// which is why the loop works below. Note that a `.map()` call also doesn't work
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// and will instead return a Float32Array still.
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const translatedData: number[] = [];
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for (let i = 0; i < data.length; i++) {
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// All we're doing here is inverting the amplitude and putting the metric somewhere
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// between zero and one. Without the inversion, lower values are "louder", which is
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// not super helpful.
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translatedData.push(1 - (data[i] / 128.0));
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// We're clamping the values so we can do that math operation mentioned above.
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translatedData.push(percentageOf(data[i], 0, 1));
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}
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this.observable.update({
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