Files
Vosklet/src/pre.js
2024-01-31 10:40:05 -08:00

142 lines
3.7 KiB
JavaScript

let objs = [new EventTarget()]
class Recognizer extends EventTarget {
constructor() {
super()
}
_init(model, sampleRate) {
this.obj = new Module.recognizer(model, sampleRate, objs.length)
objs.push(this)
this.ptr = Module._malloc(512)
}
async getNode(ctx, channelIndex = 0) {
if(typeof this.node === "undefined") {
let msgChannel = new MessageChannel()
ctx.AudioWorklet.addModule("src/processor.js")
this.node = new AudioWorkletNode(ctx, 'BRProcessor', { channelCountMode: "max", numberOfInputs: 1, numberOfOutputs: 1 })
this.node.port.postMessage({cmd : "init", ptr: this.ptr, channel: channelIndex}, [msgChannel.port1])
msgChannel.port1.onmessage = (ev) => {
this.obj.acceptWaveForm()
}
}
return this.node
}
recognize(buf, channelIndex = 0) {
Module.HEAPF32.set(buf.getChannelData(channelIndex).subarray(0, 512), this.ptr);
this.obj.acceptWaveForm()
}
delete() {
this.obj.delete()
if(typeof this.node !== "undefined") {
this.node.port.postMessage({cmd : "deinit"})
}
}
setWords(words) {
this.obj.setWords(words)
}
setPartialWords(partialWords) {
this.obj.setPartialWords(partialWords)
}
setGrm(grm) {
this.obj.setGrm(grm)
}
setSpkModel(model) {
this.obj.setSpkModel(model.obj)
}
setNLSML(nlsml) {
this.obj.setNLSML(nlsml)
}
setMaxAlternatives(alts) {
this.obj.setMaxAlternatives(alts)
}
}
class Model extends EventTarget {
constructor(storepath, id) {
super()
this.obj = new Module.model(storepath, id, objs.length)
objs.push(this)
}
delete() {
this.obj.delete()
}
}
class SpkModel extends EventTarget {
constructor(storepath, id) {
super()
this.obj = new Module.spkModel(storepath, id, objs.length)
objs.push(this)
}
delete() {
this.obj.delete()
}
}
Module.deleteAll = () => {
objs.forEach(obj => obj.delete())
}
Module.makeModel = async (url, storepath, id) => {
let mdl = new Model(storepath, id)
return new Promise((resolve, reject) => {
mdl.addEventListener("_continue", (ev) => {
if(ev.detail === ".") {
return resolve(mdl)
}
mdl.delete()
return reject(ev.detail)
}, {once : true})
if(mdl.obj.checkModel()) {
mdl.obj.load(true)
return resolve(mdl)
}
(async () => {
let res = await fetch(url)
if(!res.ok) {
return reject("Unable to download model")
}
let arr = await res.arrayBuffer()
let mdlMem = Module._malloc(arr.byteLength) // Will free in C++
Module.HEAP8.set(new Int8Array(arr), mdlMem)
mdl.obj.afterFetch(mdlMem, arr.byteLength)
})()
})
}
Module.makeSpkModel = async (url, storepath, id) => {
let mdl = new SpkModel(storepath, id)
return new Promise((resolve, reject) => {
mdl.addEventListener("_continue", (ev) => {
if(ev.detail === ".") {
return resolve(mdl)
}
mdl.delete()
reject(ev.detail)
}, {once : true})
if(mdl.obj.checkModel()) {
mdl.obj.load(true)
return resolve(mdl)
}
(async () => {
let res = await fetch(url)
if(!res.ok) {
return reject("Unable to download model")
}
let arr = await res.arrayBuffer()
let mdlMem = Module._malloc(arr.byteLength) // Will free in C++
Module.HEAP8.set(new Int8Array(arr), mdlMem)
mdl.obj.afterFetch(mdlMem, arr.byteLength)
})()
})
}
Module.makeRecognizer = (model, sampleRate) => {
let rec = new Recognizer()
let retval = new Promise((resolve, reject) => {
rec.addEventListener("_continue", (ev) => {
if(ev.detail == ".") {
objs.push(rec)
resolve(rec)
}
rec.delete()
reject(ev.detail)
}, {once : true})
})
rec._init(model.obj, sampleRate)
return retval
}