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Enforce one nameing convention

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msqr1
2024-08-19 18:53:52 -07:00
parent 01105868c6
commit 2122902190
24 changed files with 211 additions and 211 deletions
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Examples/README.md Normal file
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**Note: Examples in this folder uses its own *Vosklet.js* because I can't set the Response headers for my model for browsers to decompress correctly. Instead, I used DecompressionStream to decompress manually, so this *Vosklet.js* only works for the examples. In production, please use the top-level Vosklet.js instead.**

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<!DOCTYPE html>
<html>
<head>
<script src="https://cdn.jsdelivr.net/gh/msqr1/Vosklet@1.1.0/examples/Vosklet.min.js" async defer></script>
<script>
async function start() {
// Make sure sample rate matches that in the training data
let ctx = new AudioContext({sampleRate : 16000})
// Setup mic with correct sample rate
let micNode = ctx.createMediaStreamSource(await navigator.mediaDevices.getUserMedia({
video: false,
audio: {
echoCancellation: true,
noiseSuppression: true,
channelCount: 1,
sampleRate: 16000
},
}))
// Load Vosklet module, model and recognizer
let module = await loadVosklet()
let model = await module.createModel("https://ccoreilly.github.io/vosk-browser/models/vosk-model-small-en-us-0.15.tar.gz","model","ID")
let recognizer = await module.createRecognizer(model, 16000)
// Listen for result and partial result
recognizer.addEventListener("result", ev => {
console.log("Result: ", ev.detail)
})
recognizer.addEventListener("partialResult", ev => {
console.log("Partial result: ", ev.detail)
})
// Create a transferer node to get audio data on the main thread
let transferer = await module.createTransferer(ctx, 128 * 150)
// Recognize data on arrival
transferer.port.onmessage = ev => {
recognizer.acceptWaveform(ev.data)
}
// Connect to microphone
micNode.connect(transferer)
}
</script>
<!-- Start and create audio context only as a result of user's action -->
<button onclick="start()">Start</button>
</head>
</html>

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<!DOCTYPE html>
<html>
<head>
<script src="https://cdn.jsdelivr.net/gh/msqr1/Vosklet@1.1.0/examples/Vosklet.min.js" async defer></script>
<script>
async function start() {
// Make sure sample rate matches that in the training data
let ctx = new AudioContext({sampleRate : 16000})
let module = await loadVosklet()
let model = await module.createModel("https://ccoreilly.github.io/vosk-browser/models/vosk-model-small-en-us-0.15.tar.gz","model","ID")
let recognizer = await module.createRecognizer(model, 16000)
// Listen for result and partial result
recognizer.addEventListener("result", ev => {
console.log("Result: ", ev.detail)
})
recognizer.addEventListener("partialResult", ev => {
console.log("Partial result: ", ev.detail)
})
// Fetch, decode, and recognize .wav
let wav = await fetch("https://cdn.jsdelivr.net/gh/msqr1/Vosklet/examples/example.wav")
let audioBuf = await ctx.decodeAudioData(await wav.arrayBuffer())
recognizer.acceptWaveform(audioBuf.getChannelData(0))
}
</script>
</head>
<!-- Start and create audio context only as a result of user's action -->
<button onclick="start()">Start</button>
</html>