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Remove libarchive, implement untar manually. Use vosk-browser models

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msqr1
2024-06-02 02:53:30 -07:00
parent 43048b0685
commit 410bff9be1
14 changed files with 122 additions and 98 deletions
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7
examples/fromWav.html
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@@ -1,20 +1,23 @@
<!DOCTYPE html>
<html>
<head>
<script src="https://cdn.jsdelivr.net/gh/msqr1/Vosklet@1.0.3/examples/Vosklet.min.js" async defer></script>
<script src="https://cdn.jsdelivr.net/gh/msqr1/Vosklet@1.0.4/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://raw.githubusercontent.com/msqr1/Vosklet/main/examples/en-model.tgz","model","ID")
let model = await module.createModel("https://raw.githubusercontent.com/ccoreilly/vosk-browser/master/examples/react/public/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://raw.githubusercontent.com/msqr1/Vosklet/main/examples/example.wav")
let audioBuf = await ctx.decodeAudioData(await wav.arrayBuffer())