voice-changer/client/lib/worklet/src/voice-changer-worklet-processor.ts

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export const RequestType = {
"voice": "voice",
"config": "config"
} as const
export type RequestType = typeof RequestType[keyof typeof RequestType]
export type VoiceChangerWorkletProcessorRequest = {
requestType: RequestType,
voice: ArrayBuffer,
numTrancateTreshold: number
volTrancateThreshold: number
volTrancateLength: number
}
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class VoiceChangerWorkletProcessor extends AudioWorkletProcessor {
private BLOCK_SIZE = 128
private initialized = false;
private volume = 0
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private numTrancateTreshold = 50
private volTrancateThreshold = 0.0005
private volTrancateLength = 32
private volTrancateCount = 0
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playBuffer: Float32Array[] = []
/**
* @constructor
*/
constructor() {
super();
this.initialized = true;
this.port.onmessage = this.handleMessage.bind(this);
}
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calcVol = (data: Float32Array, prevVol: number) => {
const sum = data.reduce((prev, cur) => {
return prev + cur * cur
}, 0)
const rms = Math.sqrt(sum / data.length)
return Math.max(rms, prevVol * 0.95)
}
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handleMessage(event: any) {
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const request = event.data.request as VoiceChangerWorkletProcessorRequest
if (request.requestType === "config") {
this.numTrancateTreshold = request.numTrancateTreshold
this.volTrancateLength = request.volTrancateLength
this.volTrancateThreshold = request.volTrancateThreshold
console.log("[worklet] worklet configured", request)
return
}
const arrayBuffer = request.voice
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// データは(int16)で受信
const i16Data = new Int16Array(arrayBuffer)
const f32Data = new Float32Array(i16Data.length)
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// console.log(`[worklet] f32DataLength${f32Data.length} i16DataLength${i16Data.length}`)
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i16Data.forEach((x, i) => {
const float = (x >= 0x8000) ? -(0x10000 - x) / 0x8000 : x / 0x7FFF;
f32Data[i] = float
})
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if (this.playBuffer.length > this.numTrancateTreshold) {
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console.log("[worklet] Buffer truncated")
while (this.playBuffer.length > 2) {
this.playBuffer.shift()
}
}
// アップサンプリングしてPlayバッファに蓄積
let f32Block: Float32Array
for (let i = 0; i < f32Data.length; i++) {
const frameIndexInBlock = (i * 2) % this.BLOCK_SIZE //
if (frameIndexInBlock === 0) {
f32Block = new Float32Array(this.BLOCK_SIZE)
}
const currentFrame = f32Data[i]
const nextFrame = i + 1 < f32Data.length ? f32Data[i + 1] : f32Data[i]
f32Block![frameIndexInBlock] = currentFrame
f32Block![frameIndexInBlock + 1] = (currentFrame + nextFrame) / 2
if (f32Block!.length === frameIndexInBlock + 2) {
this.playBuffer.push(f32Block!)
}
}
}
process(_inputs: Float32Array[][], outputs: Float32Array[][], _parameters: Record<string, Float32Array>) {
if (!this.initialized) {
console.warn("[worklet] worklet_process not ready");
return true;
}
if (this.playBuffer.length === 0) {
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console.log("[worklet] no play buffer")
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return true
}
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//// 一定期間無音状態が続いている場合はスキップ。
let voice: Float32Array | undefined
while (true) {
voice = this.playBuffer.shift()
if (!voice) {
break
}
this.volume = this.calcVol(voice, this.volume)
if (this.volume < this.volTrancateThreshold) {
this.volTrancateCount += 1
} else {
this.volTrancateCount = 0
}
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if (this.volTrancateCount < this.volTrancateLength) {
break
} else {
console.log("silent...skip")
}
}
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if (voice) {
this.port.postMessage({ volume: this.volume });
outputs[0][0].set(voice)
}
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return true;
}
}
registerProcessor("voice-changer-worklet-processor", VoiceChangerWorkletProcessor);