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Golang基于chrome浏览器语音识别web演示系统WebHTK开发之UI篇
没啥好说的，直接上现阶段的HTML代码，后续修改，再更新该篇博客。
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record.html：
WebHTK 演示系统
recorder.js：
(function(window) {
var WORKER_PATH = '/static/lib/recorderWorker.js';
var Recorder = function(source, chan, cfg) {
var config = cfg || {};
var channels = chan || 1;
var bufferLen = config.bufferLen || 8192;
this.context = source.context;
this.node = this.context.createJavaScriptNode(bufferLen, channels, channels);
var worker = new Worker(config.workerPath || WORKER_PATH);
worker.postMessage({
command: 'init',
config: {
sampleRate: this.context.sampleRate
}
});
var recording = false,
currCallback;
this.node.onaudioprocess = function(e) {
if (!recording) return;
worker.postMessage({
command: 'record',
buffer: [
e.inputBuffer.getChannelData(0)
]
});
}
this.configure = function(cfg) {
for (var prop in cfg) {
if (cfg.hasOwnProperty(prop)) {
config[prop] = cfg[prop];
}
}
}
this.record = function() {
recording = true;
}
this.stop = function() {
recording = false;
}
this.clear = function() {
worker.postMessage({
command: 'clear'
});
}
this.getBuffer = function(cb) {
currCallback = cb || config.callback;
worker.postMessage({
command: 'getBuffer'
})
}
this.exportWAV = function(cb, type) {
currCallback = cb || config.callback;
type = type || config.type || 'audio/wav';
if (!currCallback) throw new Error('Callback not set');
worker.postMessage({
command: 'exportWAV',
type: type
});
}
worker.onmessage = function(e) {
var blob = e.data;
currCallback(blob);
}
source.connect(this.node);
this.node.connect(this.context.destination);
};
window.Recorder = Recorder;
})(window);recorderWorker.js：
var recLength = 0,
recBuffersL = [],
sampleRate;
this.onmessage = function(e) {
switch (e.data.command) {
case 'init':
init(e.data.config);
break;
case 'record':
record(e.data.buffer);
break;
case 'exportWAV':
exportWAV(e.data.type);
break;
case 'getBuffer':
getBuffer();
break;
case 'clear':
clear();
break;
}
};
function init(config) {
sampleRate = config.sampleRate;
}
function record(inputBuffer) {
recBuffersL.push(inputBuffer[0]);
recLength += inputBuffer[0].length;
}
function exportWAV(type) {
var bufferL = mergeBuffers(recBuffersL, recLength);
var interleaved = interleave(bufferL);
var dataview = encodeWAV(interleaved);
var audioBlob = new Blob([dataview], {
type: type
});
this.postMessage(audioBlob);
}
function getBuffer() {
var buffers = [];
buffers.push(mergeBuffers(recBuffersL, recLength));
this.postMessage(buffers);
}
function clear(inputBuffer) {
recLength = 0;
recBuffersL = [];
}
function mergeBuffers(recBuffers, recLength) {
var result = new Float32Array(recLength);
var offset = 0;
for (var i = 0; i < recBuffers.length; i++) {
result.set(recBuffers[i], offset);
offset += recBuffers[i].length;
}
return result;
}
function interleave(inputL) {
var length;
var result;
var index = 0,
inputIndex = 0;
if (sampleRate == 48000) {
length = inputL.length / 6;
result = new Float32Array(length);
while (index < length) {
result[index++] = (inputL[inputIndex++] + inputL[inputIndex++] +
inputL[inputIndex++] + inputL[inputIndex++] +
inputL[inputIndex++] + inputL[inputIndex++]) / 6;
}
} else if (sampleRate == 44100) {
length = inputL.length / 6;
result = new Float32Array(length);
while (index < length) {
if (inputIndex % 12 == 0) {
result[index++] = (inputL[inputIndex] + inputL[inputIndex++] +
inputL[inputIndex++] + inputL[inputIndex++] +
inputL[inputIndex++] + inputL[inputIndex++] +
inputL[inputIndex++]) / 7;
} else {
result[index++] = (inputL[inputIndex++] + inputL[inputIndex++] +
inputL[inputIndex++] + inputL[inputIndex++] +
inputL[inputIndex++] + inputL[inputIndex++]) / 6;
};
}
} else {
length = inputL.length;
result = new Float32Array(length);
while (index < length) {
result[index++] = inputL[inputIndex++];
}
};
return result;
}
function floatTo16BitPCM(output, offset, input) {
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);
}
}
function writeString(view, offset, string) {
for (var i = 0; i < string.length; i++) {
view.setUint8(offset + i, string.charCodeAt(i));
}
}
function encodeWAV(samples) {
var buffer = new ArrayBuffer(samples.length * 2);
var view = new DataView(buffer);
floatTo16BitPCM(view, 0, samples);
return view;
}recController.js：
var onFail = function(e) {
console.log('Rejected!', e);
};
var onSuccess = function(s) {
var context = new webkitAudioContext();
var mediaStreamSource = context.createMediaStreamSource(s);
rec = new Recorder(mediaStreamSource, channels);
sampleRate = 8000;
}
navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia || navigator.mozGetUserMedia || navigator.msGetUserMedia;
var rec;
var intervalKey = null;
var audio = document.querySelector('#audio');
var sampleRate;
var channels = 1;
function startRecording() {
if (navigator.getUserMedia) {
navigator.getUserMedia({
audio: true
}, onSuccess, onFail);
} else {
console.log('navigator.getUserMedia not present');
}
}
startRecording();
//--------------------
var ws = new WebSocket('ws://' + window.location.host + '/join');
ws.onopen = function() {
console.log("Openened connection to websocket");
};
ws.onclose = function() {
console.log("Close connection to websocket");
}
ws.onerror = function() {
console.log("Cannot connection to websocket");
}
ws.onmessage = function(result) {
var data = JSON.parse(result.data);
console.log('识别结果：' + data.Pinyin);
var result = document.getElementById("resultbox")
result.getElementsByTagName("li")[0].innerHTML = data.Hanzi;
document.getElementById("message").innerHTML = "点击麦克风，开始录音!";
}进入页面：
正在录音：
识别结果，目前还为将拼音转换为汉字，下图为“点亮星光”的显示结果图：
新闻标题：Golang基于chrome浏览器语音识别web演示系统WebHTK开发之UI篇
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