mirror of
https://github.com/w-okada/voice-changer.git
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update
This commit is contained in:
wataru
parent
eeb940480e
commit
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client/demo/dist/index.js
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client/demo/dist/index.js
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client/demo/package-lock.json
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154
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"requires": {
|
||||
"@babel/helper-create-class-features-plugin": "^7.20.12",
|
||||
"@babel/helper-create-class-features-plugin": "^7.21.0",
|
||||
"@babel/helper-plugin-utils": "^7.20.2",
|
||||
"@babel/plugin-syntax-typescript": "^7.20.0"
|
||||
}
|
||||
@ -13405,14 +13405,14 @@
|
||||
}
|
||||
},
|
||||
"@babel/preset-typescript": {
|
||||
"version": "7.18.6",
|
||||
"resolved": "https://registry.npmjs.org/@babel/preset-typescript/-/preset-typescript-7.18.6.tgz",
|
||||
"integrity": "sha512-s9ik86kXBAnD760aybBucdpnLsAt0jK1xqJn2juOn9lkOvSHV60os5hxoVJsPzMQxvnUJFAlkont2DvvaYEBtQ==",
|
||||
"version": "7.21.0",
|
||||
"resolved": "https://registry.npmjs.org/@babel/preset-typescript/-/preset-typescript-7.21.0.tgz",
|
||||
"integrity": "sha512-myc9mpoVA5m1rF8K8DgLEatOYFDpwC+RkMkjZ0Du6uI62YvDe8uxIEYVs/VCdSJ097nlALiU/yBC7//3nI+hNg==",
|
||||
"dev": true,
|
||||
"requires": {
|
||||
"@babel/helper-plugin-utils": "^7.18.6",
|
||||
"@babel/helper-validator-option": "^7.18.6",
|
||||
"@babel/plugin-transform-typescript": "^7.18.6"
|
||||
"@babel/helper-plugin-utils": "^7.20.2",
|
||||
"@babel/helper-validator-option": "^7.21.0",
|
||||
"@babel/plugin-transform-typescript": "^7.21.0"
|
||||
}
|
||||
},
|
||||
"@babel/regjsgen": {
|
||||
@ -13460,9 +13460,9 @@
|
||||
}
|
||||
},
|
||||
"@babel/types": {
|
||||
"version": "7.20.7",
|
||||
"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.20.7.tgz",
|
||||
"integrity": "sha512-69OnhBxSSgK0OzTJai4kyPDiKTIe3j+ctaHdIGVbRahTLAT7L3R9oeXHC2aVSuGYt3cVnoAMDmOCgJ2yaiLMvg==",
|
||||
"version": "7.21.0",
|
||||
"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.21.0.tgz",
|
||||
"integrity": "sha512-uR7NWq2VNFnDi7EYqiRz2Jv/VQIu38tu64Zy8TX2nQFQ6etJ9V/Rr2msW8BS132mum2rL645qpDrLtAJtVpuow==",
|
||||
"dev": true,
|
||||
"requires": {
|
||||
"@babel/helper-string-parser": "^7.19.4",
|
||||
@ -13471,9 +13471,9 @@
|
||||
}
|
||||
},
|
||||
"@dannadori/voice-changer-client-js": {
|
||||
"version": "1.0.73",
|
||||
"resolved": "https://registry.npmjs.org/@dannadori/voice-changer-client-js/-/voice-changer-client-js-1.0.73.tgz",
|
||||
"integrity": "sha512-9vzlxy+Q5Rw52ra5taaU1ioNY7QpZsPiG0iiUsD1DkQ0FbtJsiKmoH+8QQKMzfxeK5efhNFCNn2flPHMLmsTmw==",
|
||||
"version": "1.0.74",
|
||||
"resolved": "https://registry.npmjs.org/@dannadori/voice-changer-client-js/-/voice-changer-client-js-1.0.74.tgz",
|
||||
"integrity": "sha512-/pqBNJTsisYBT2Nh1/SsVsS8Zjm/b+o59DHLpqjZlXohMaCCJ4BBroJxn8GXrtR84nkxvIehvWH1stiuAhnd6A==",
|
||||
"requires": {
|
||||
"@types/readable-stream": "^2.3.15",
|
||||
"amazon-chime-sdk-js": "^3.11.0",
|
||||
|
||||
@ -19,10 +19,10 @@
|
||||
"author": "wataru.okada@flect.co.jp",
|
||||
"license": "ISC",
|
||||
"devDependencies": {
|
||||
"@babel/plugin-transform-runtime": "^7.19.6",
|
||||
"@babel/plugin-transform-runtime": "^7.21.0",
|
||||
"@babel/preset-env": "^7.20.2",
|
||||
"@babel/preset-react": "^7.18.6",
|
||||
"@babel/preset-typescript": "^7.18.6",
|
||||
"@babel/preset-typescript": "^7.21.0",
|
||||
"@types/node": "^18.14.0",
|
||||
"@types/react": "^18.0.28",
|
||||
"@types/react-dom": "^18.0.11",
|
||||
@ -51,7 +51,7 @@
|
||||
"webpack-dev-server": "^4.11.1"
|
||||
},
|
||||
"dependencies": {
|
||||
"@dannadori/voice-changer-client-js": "^1.0.73",
|
||||
"@dannadori/voice-changer-client-js": "^1.0.74",
|
||||
"@fortawesome/fontawesome-svg-core": "^6.3.0",
|
||||
"@fortawesome/free-brands-svg-icons": "^6.3.0",
|
||||
"@fortawesome/free-regular-svg-icons": "^6.3.0",
|
||||
|
||||
@ -5,6 +5,7 @@ import { AnimationTypes, HeaderButton, HeaderButtonProps } from "./components/10
|
||||
export const useServerControl = () => {
|
||||
const appState = useAppState()
|
||||
const [startWithAudioContextCreate, setStartWithAudioContextCreate] = useState<boolean>(false)
|
||||
const [showPerformanceDetail, setShowPerformanceDetail] = useState<boolean>(false)
|
||||
|
||||
const accodionButton = useMemo(() => {
|
||||
const accodionButtonProps: HeaderButtonProps = {
|
||||
@ -62,6 +63,8 @@ export const useServerControl = () => {
|
||||
}, [appState.frontendManagerState.isConverting, appState.clientSetting.start, appState.clientSetting.stop])
|
||||
|
||||
const performanceRow = useMemo(() => {
|
||||
const performanceDetailLabel = showPerformanceDetail ? "[pre, main, post] <<" : "more >>"
|
||||
const performanceData = showPerformanceDetail ? `[${appState.performance.preprocessTime}, ${appState.performance.mainprocessTime},${appState.performance.postprocessTime}]` : ""
|
||||
return (
|
||||
<>
|
||||
<div className="body-row split-3-1-1-1-4 left-padding-1 guided">
|
||||
@ -69,20 +72,20 @@ export const useServerControl = () => {
|
||||
<div className="body-item-text">vol<span className="body-item-text-small">(rms)</span></div>
|
||||
<div className="body-item-text">buf<span className="body-item-text-small">(ms)</span></div>
|
||||
<div className="body-item-text">res<span className="body-item-text-small">(ms)</span></div>
|
||||
<div className="body-item-text"></div>
|
||||
<div className="body-item-text">
|
||||
<span onClick={() => { setShowPerformanceDetail(!showPerformanceDetail) }} >{performanceDetailLabel}</span>
|
||||
</div>
|
||||
</div>
|
||||
<div className="body-row split-3-1-1-1-4 left-padding-1 guided">
|
||||
<div className="body-item-title left-padding-1"></div>
|
||||
<div className="body-item-text">{appState.volume.toFixed(4)}</div>
|
||||
<div className="body-item-text">{appState.bufferingTime}</div>
|
||||
<div className="body-item-text">{appState.responseTime}</div>
|
||||
<div className="body-item-text"></div>
|
||||
<div className="body-item-text">{appState.performance.responseTime}</div>
|
||||
<div className="body-item-text">{performanceData}</div>
|
||||
</div>
|
||||
</>
|
||||
)
|
||||
}, [appState.volume, appState.bufferingTime, appState.responseTime])
|
||||
|
||||
|
||||
}, [appState.volume, appState.bufferingTime, appState.performance, showPerformanceDetail])
|
||||
|
||||
const infoRow = useMemo(() => {
|
||||
const onReloadClicked = async () => {
|
||||
|
||||
@ -382,74 +382,8 @@ export const useDeviceSetting = (): DeviceSettingState => {
|
||||
a.click();
|
||||
document.body.removeChild(a);
|
||||
URL.revokeObjectURL(url);
|
||||
|
||||
|
||||
}
|
||||
|
||||
// 出力の録音データ(from worklet)がストアされたら実行
|
||||
useEffect(() => {
|
||||
if (!appState.outputRecordData || appState.outputRecordData?.length == 0) {
|
||||
return
|
||||
}
|
||||
const f32Datas = appState.outputRecordData
|
||||
const sampleSize = f32Datas.reduce((prev, cur) => {
|
||||
return prev + cur.length
|
||||
}, 0)
|
||||
const samples = new Float32Array(sampleSize);
|
||||
let sampleIndex = 0
|
||||
|
||||
for (let i = 0; i < f32Datas.length; i++) {
|
||||
for (let j = 0; j < f32Datas[i].length; j++) {
|
||||
samples[sampleIndex] = f32Datas[i][j];
|
||||
sampleIndex++;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
const writeString = (view: DataView, offset: number, string: string) => {
|
||||
for (var i = 0; i < string.length; i++) {
|
||||
view.setUint8(offset + i, string.charCodeAt(i));
|
||||
}
|
||||
};
|
||||
|
||||
const floatTo16BitPCM = (output: DataView, offset: number, input: Float32Array) => {
|
||||
for (var i = 0; i < input.length; i++, offset += 2) {
|
||||
var s = Math.max(-1, Math.min(1, input[i]));
|
||||
output.setInt16(offset, s < 0 ? s * 0x8000 : s * 0x7FFF, true);
|
||||
}
|
||||
};
|
||||
|
||||
const buffer = new ArrayBuffer(44 + samples.length * 2);
|
||||
const view = new DataView(buffer);
|
||||
|
||||
// https://www.youfit.co.jp/archives/1418
|
||||
writeString(view, 0, 'RIFF'); // RIFFヘッダ
|
||||
view.setUint32(4, 32 + samples.length * 2, true); // これ以降のファイルサイズ
|
||||
writeString(view, 8, 'WAVE'); // WAVEヘッダ
|
||||
writeString(view, 12, 'fmt '); // fmtチャンク
|
||||
view.setUint32(16, 16, true); // fmtチャンクのバイト数
|
||||
view.setUint16(20, 1, true); // フォーマットID
|
||||
view.setUint16(22, 1, true); // チャンネル数
|
||||
view.setUint32(24, 48000, true); // サンプリングレート
|
||||
view.setUint32(28, 48000 * 2, true); // データ速度
|
||||
view.setUint16(32, 2, true); // ブロックサイズ
|
||||
view.setUint16(34, 16, true); // サンプルあたりのビット数
|
||||
writeString(view, 36, 'data'); // dataチャンク
|
||||
view.setUint32(40, samples.length * 2, true); // 波形データのバイト数
|
||||
floatTo16BitPCM(view, 44, samples); // 波形データ
|
||||
const audioBlob = new Blob([view], { type: 'audio/wav' });
|
||||
|
||||
const url = URL.createObjectURL(audioBlob);
|
||||
const a = document.createElement("a");
|
||||
a.href = url;
|
||||
a.download = `output.wav`;
|
||||
document.body.appendChild(a);
|
||||
a.click();
|
||||
document.body.removeChild(a);
|
||||
URL.revokeObjectURL(url);
|
||||
|
||||
}, [appState.outputRecordData])
|
||||
|
||||
return {
|
||||
deviceSetting,
|
||||
}
|
||||
|
||||
4
client/lib/package-lock.json
generated
4
client/lib/package-lock.json
generated
@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@dannadori/voice-changer-client-js",
|
||||
"version": "1.0.73",
|
||||
"version": "1.0.75",
|
||||
"lockfileVersion": 2,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@dannadori/voice-changer-client-js",
|
||||
"version": "1.0.73",
|
||||
"version": "1.0.75",
|
||||
"license": "ISC",
|
||||
"dependencies": {
|
||||
"@types/readable-stream": "^2.3.15",
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@dannadori/voice-changer-client-js",
|
||||
"version": "1.0.73",
|
||||
"version": "1.0.75",
|
||||
"description": "",
|
||||
"main": "dist/index.js",
|
||||
"directories": {
|
||||
|
||||
@ -6,7 +6,7 @@ import { DefaultEventsMap } from "@socket.io/component-emitter";
|
||||
export type VoiceChangerWorkletListener = {
|
||||
notifyVolume: (vol: number) => void
|
||||
notifySendBufferingTime: (time: number) => void
|
||||
notifyResponseTime: (time: number) => void
|
||||
notifyResponseTime: (time: number, perf?: number[]) => void
|
||||
notifyException: (code: VOICE_CHANGER_CLIENT_EXCEPTION, message: string) => void
|
||||
}
|
||||
|
||||
@ -69,11 +69,12 @@ export class VoiceChangerWorkletNode extends AudioWorkletNode {
|
||||
const cur = Date.now()
|
||||
const responseTime = cur - response[0]
|
||||
const result = response[1] as ArrayBuffer
|
||||
const perf = response[2]
|
||||
if (result.byteLength < 128 * 2) {
|
||||
this.listener.notifyException(VOICE_CHANGER_CLIENT_EXCEPTION.ERR_SIO_INVALID_RESPONSE, `[SIO] recevied data is too short ${result.byteLength}`)
|
||||
} else {
|
||||
this.postReceivedVoice(response[1])
|
||||
this.listener.notifyResponseTime(responseTime)
|
||||
this.listener.notifyResponseTime(responseTime, perf)
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
@ -96,9 +96,9 @@ export const DefaultServerSetting: ServerInfo = {
|
||||
dstId: 101,
|
||||
gpu: 0,
|
||||
|
||||
crossFadeOffsetRate: 0.1,
|
||||
crossFadeEndRate: 0.9,
|
||||
crossFadeOverlapSize: CrossFadeOverlapSize[4096],
|
||||
crossFadeOffsetRate: 0.0,
|
||||
crossFadeEndRate: 1.0,
|
||||
crossFadeOverlapSize: CrossFadeOverlapSize[1024],
|
||||
|
||||
framework: Framework.PyTorch,
|
||||
f0Factor: 1.0,
|
||||
@ -106,7 +106,7 @@ export const DefaultServerSetting: ServerInfo = {
|
||||
f0Detector: F0Detector.dio,
|
||||
recordIO: 0,
|
||||
|
||||
inputSampleRate: 48000,
|
||||
inputSampleRate: 24000,
|
||||
|
||||
//
|
||||
status: "ok",
|
||||
@ -163,7 +163,7 @@ export type WorkletNodeSetting = {
|
||||
export const DefaultWorkletNodeSetting: WorkletNodeSetting = {
|
||||
serverUrl: "",
|
||||
protocol: "sio",
|
||||
sendingSampleRate: 48000,
|
||||
sendingSampleRate: 24000,
|
||||
inputChunkNum: 48,
|
||||
downSamplingMode: "average"
|
||||
}
|
||||
|
||||
@ -19,8 +19,8 @@ export type ClientState = {
|
||||
|
||||
// モニタリングデータ
|
||||
bufferingTime: number;
|
||||
responseTime: number;
|
||||
volume: number;
|
||||
performance: PerformanceData
|
||||
|
||||
// 情報取得
|
||||
getInfo: () => Promise<void>
|
||||
@ -28,7 +28,18 @@ export type ClientState = {
|
||||
clearSetting: () => Promise<void>
|
||||
}
|
||||
|
||||
|
||||
export type PerformanceData = {
|
||||
responseTime: number
|
||||
preprocessTime: number
|
||||
mainprocessTime: number
|
||||
postprocessTime: number
|
||||
}
|
||||
const InitialPerformanceData: PerformanceData = {
|
||||
responseTime: 0,
|
||||
preprocessTime: 0,
|
||||
mainprocessTime: 0,
|
||||
postprocessTime: 0
|
||||
}
|
||||
|
||||
export const useClient = (props: UseClientProps): ClientState => {
|
||||
|
||||
@ -52,7 +63,7 @@ export const useClient = (props: UseClientProps): ClientState => {
|
||||
|
||||
// (1-3) モニタリングデータ
|
||||
const [bufferingTime, setBufferingTime] = useState<number>(0)
|
||||
const [responseTime, setResponseTime] = useState<number>(0)
|
||||
const [performance, setPerformance] = useState<PerformanceData>(InitialPerformanceData)
|
||||
const [volume, setVolume] = useState<number>(0)
|
||||
|
||||
// (1-4) エラーステータス
|
||||
@ -68,8 +79,12 @@ export const useClient = (props: UseClientProps): ClientState => {
|
||||
notifySendBufferingTime: (val: number) => {
|
||||
setBufferingTime(val)
|
||||
},
|
||||
notifyResponseTime: (val: number) => {
|
||||
setResponseTime(val)
|
||||
notifyResponseTime: (val: number, perf?: number[]) => {
|
||||
const responseTime = val
|
||||
const preprocessTime = perf ? Math.ceil(perf[0] * 1000) : 0
|
||||
const mainprocessTime = perf ? Math.ceil(perf[1] * 1000) : 0
|
||||
const postprocessTime = perf ? Math.ceil(perf[2] * 1000) : 0
|
||||
setPerformance({ responseTime, preprocessTime, mainprocessTime, postprocessTime })
|
||||
},
|
||||
notifyException: (mes: string) => {
|
||||
if (mes.length > 0) {
|
||||
@ -126,8 +141,8 @@ export const useClient = (props: UseClientProps): ClientState => {
|
||||
|
||||
// モニタリングデータ
|
||||
bufferingTime,
|
||||
responseTime,
|
||||
volume,
|
||||
performance,
|
||||
|
||||
// 情報取得
|
||||
getInfo,
|
||||
|
||||
@ -89,8 +89,9 @@ class MyCustomNamespace(socketio.ClientNamespace):
|
||||
timestamp = msg[0]
|
||||
responseTime = time.time() * 1000 - timestamp
|
||||
data = msg[1]
|
||||
print(f"RT:{responseTime}msec")
|
||||
unpackedData = struct.unpack('<%sh' % (len(data) // struct.calcsize('<h')), data)
|
||||
perf = msg[2]
|
||||
print(f"RT:{responseTime}msec", perf)
|
||||
# unpackedData = struct.unpack('<%sh' % (len(data) // struct.calcsize('<h')), data)
|
||||
|
||||
if self.file_output_stream != None:
|
||||
self.file_output_stream.write(data)
|
||||
|
||||
@ -4,12 +4,29 @@ import numpy as np
|
||||
import socketio
|
||||
from voice_changer.VoiceChangerManager import VoiceChangerManager
|
||||
|
||||
import time
|
||||
import multiprocessing as mp
|
||||
|
||||
|
||||
# Queueからデータを読み取り
|
||||
def read(q_in, q_out):
|
||||
while True:
|
||||
time.sleep(1)
|
||||
[timestamp, sid] = q_in.get(True)
|
||||
print("put........................................")
|
||||
q_out.put([timestamp, sid])
|
||||
|
||||
|
||||
class MMVC_Namespace(socketio.AsyncNamespace):
|
||||
def __init__(self, namespace: str, voiceChangerManager: VoiceChangerManager):
|
||||
super().__init__(namespace)
|
||||
self.voiceChangerManager = voiceChangerManager
|
||||
|
||||
self.q_in = mp.Queue()
|
||||
self.q_out = mp.Queue()
|
||||
self.p = mp.Process(target=read, args=(self.q_in, self.q_out))
|
||||
self.p.start()
|
||||
|
||||
@classmethod
|
||||
def get_instance(cls, voiceChangerManager: VoiceChangerManager):
|
||||
if not hasattr(cls, "_instance"):
|
||||
@ -28,10 +45,23 @@ class MMVC_Namespace(socketio.AsyncNamespace):
|
||||
print(data)
|
||||
await self.emit('response', [timestamp, 0], to=sid)
|
||||
else:
|
||||
# print("receive ")
|
||||
# self.q_in.put([timestamp, sid])
|
||||
# while self.q_out.empty() == False:
|
||||
# print("send........................................")
|
||||
# [timestamp, sid] = self.q_out.get(True)
|
||||
# await self.emit('response', [timestamp, 0], to=sid)
|
||||
# print("end")
|
||||
|
||||
# print("receive ")
|
||||
# time.sleep(2)
|
||||
# await self.emit('response', [timestamp, 0], to=sid)
|
||||
# print("end")
|
||||
|
||||
unpackedData = np.array(struct.unpack('<%sh' % (len(data) // struct.calcsize('<h')), data))
|
||||
audio1 = self.voiceChangerManager.changeVoice(unpackedData)
|
||||
audio1, perf = self.voiceChangerManager.changeVoice(unpackedData)
|
||||
bin = struct.pack('<%sh' % len(audio1), *audio1)
|
||||
await self.emit('response', [timestamp, bin], to=sid)
|
||||
await self.emit('response', [timestamp, bin, perf], to=sid)
|
||||
|
||||
def on_disconnect(self, sid):
|
||||
# print('[{}] disconnect'.format(datetime.now().strftime('%Y-%m-%d %H:%M:%S')))
|
||||
|
||||
@ -12,11 +12,10 @@ from symbols import symbols
|
||||
from models import SynthesizerTrn
|
||||
|
||||
import pyworld as pw
|
||||
|
||||
# from voice_changer.TrainerFunctions import TextAudioSpeakerCollate, spectrogram_torch, load_checkpoint, get_hparams_from_file
|
||||
|
||||
from voice_changer.client_modules import convert_continuos_f0, spectrogram_torch, TextAudioSpeakerCollate, get_hparams_from_file, load_checkpoint
|
||||
|
||||
import time
|
||||
import multiprocessing as mp
|
||||
|
||||
providers = ['OpenVINOExecutionProvider', "CUDAExecutionProvider", "DmlExecutionProvider", "CPUExecutionProvider"]
|
||||
|
||||
@ -30,10 +29,6 @@ import librosa
|
||||
import librosa.display
|
||||
SAMPLING_RATE = 24000
|
||||
|
||||
import pyaudio
|
||||
import json
|
||||
from multiprocessing import Process, Queue
|
||||
|
||||
|
||||
class MockStream:
|
||||
"""
|
||||
@ -366,7 +361,7 @@ class VoiceChanger():
|
||||
f0_factor=self.settings.f0Factor
|
||||
)([(spec, sid, f0)])
|
||||
|
||||
return data, f0.numpy()
|
||||
return data
|
||||
|
||||
def _onnx_inference(self, data, inputSize):
|
||||
if hasattr(self, "onnx_session") == False or self.onnx_session == None:
|
||||
@ -489,41 +484,64 @@ class VoiceChanger():
|
||||
return result
|
||||
|
||||
def on_request(self, unpackedData: any):
|
||||
if self.settings.inputSampleRate != 24000:
|
||||
# print("convert sampling rate!", self.settings.inputSampleRate)
|
||||
unpackedData = resampy.resample(unpackedData, 48000, 24000)
|
||||
|
||||
convertSize = unpackedData.shape[0] + min(self.settings.crossFadeOverlapSize, unpackedData.shape[0])
|
||||
# print(convertSize, unpackedData.shape[0])
|
||||
if convertSize < 8192:
|
||||
convertSize = 8192
|
||||
with Timer("pre-process") as t:
|
||||
if self.settings.inputSampleRate != 24000:
|
||||
# print("convert sampling rate!", self.settings.inputSampleRate)
|
||||
unpackedData = resampy.resample(unpackedData, 48000, 24000)
|
||||
convertSize = unpackedData.shape[0] + min(self.settings.crossFadeOverlapSize, unpackedData.shape[0])
|
||||
# print(convertSize, unpackedData.shape[0])
|
||||
if convertSize < 8192:
|
||||
convertSize = 8192
|
||||
if convertSize % 128 != 0: # モデルの出力のホップサイズで切り捨てが発生するので補う。
|
||||
convertSize = convertSize + (128 - (convertSize % 128))
|
||||
self._generate_strength(unpackedData)
|
||||
data = self._generate_input(unpackedData, convertSize)
|
||||
preprocess_time = t.secs
|
||||
|
||||
self._generate_strength(unpackedData)
|
||||
# f0はデバッグ用
|
||||
data, f0 = self._generate_input(unpackedData, convertSize)
|
||||
with Timer("main-process") as t:
|
||||
try:
|
||||
if self.settings.framework == "ONNX":
|
||||
result = self._onnx_inference(data, unpackedData.shape[0])
|
||||
else:
|
||||
result = self._pyTorch_inference(data, unpackedData.shape[0])
|
||||
|
||||
try:
|
||||
if self.settings.framework == "ONNX":
|
||||
result = self._onnx_inference(data, unpackedData.shape[0])
|
||||
else:
|
||||
result = self._pyTorch_inference(data, unpackedData.shape[0])
|
||||
except Exception as e:
|
||||
print("VC PROCESSING!!!! EXCEPTION!!!", e)
|
||||
print(traceback.format_exc())
|
||||
if hasattr(self, "np_prev_audio1"):
|
||||
del self.np_prev_audio1
|
||||
if hasattr(self, "prev_audio1"):
|
||||
del self.prev_audio1
|
||||
return np.zeros(1).astype(np.int16)
|
||||
mainprocess_time = t.secs
|
||||
|
||||
except Exception as e:
|
||||
print("VC PROCESSING!!!! EXCEPTION!!!", e)
|
||||
print(traceback.format_exc())
|
||||
if hasattr(self, "np_prev_audio1"):
|
||||
del self.np_prev_audio1
|
||||
if hasattr(self, "prev_audio1"):
|
||||
del self.prev_audio1
|
||||
return np.zeros(1).astype(np.int16)
|
||||
with Timer("post-process") as t:
|
||||
|
||||
result = result.astype(np.int16)
|
||||
# print("on_request result size:",result.shape)
|
||||
if self.settings.recordIO == 1:
|
||||
self.stream_in.write(unpackedData.astype(np.int16).tobytes())
|
||||
self.stream_out.write(result.tobytes())
|
||||
result = result.astype(np.int16)
|
||||
# print("on_request result size:",result.shape)
|
||||
if self.settings.recordIO == 1:
|
||||
self.stream_in.write(unpackedData.astype(np.int16).tobytes())
|
||||
self.stream_out.write(result.tobytes())
|
||||
|
||||
if self.settings.inputSampleRate != 24000:
|
||||
result = resampy.resample(result, 24000, 48000).astype(np.int16)
|
||||
if self.settings.inputSampleRate != 24000:
|
||||
result = resampy.resample(result, 24000, 48000).astype(np.int16)
|
||||
postprocess_time = t.secs
|
||||
|
||||
return result
|
||||
perf = [preprocess_time, mainprocess_time, postprocess_time]
|
||||
return result, perf
|
||||
|
||||
|
||||
##############
|
||||
class Timer(object):
|
||||
def __init__(self, title: str):
|
||||
self.title = title
|
||||
|
||||
def __enter__(self):
|
||||
self.start = time.time()
|
||||
return self
|
||||
|
||||
def __exit__(self, *args):
|
||||
self.end = time.time()
|
||||
self.secs = self.end - self.start
|
||||
self.msecs = self.secs * 1000 # millisecs
|
||||
|
||||
@ -36,4 +36,4 @@ class VoiceChangerManager():
|
||||
return self.voiceChanger.on_request(unpackedData)
|
||||
else:
|
||||
print("Voice Change is not loaded. Did you load a correct model?")
|
||||
return np.zeros(1).astype(np.int16)
|
||||
return np.zeros(1).astype(np.int16), []
|
||||
|
||||
Loading…
Reference in New Issue
Block a user