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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:

Golang 基于chrome浏览器语音识别web演示系统WebHTK开发之 UI篇

正在录音:

Golang 基于chrome浏览器语音识别web演示系统WebHTK开发之 UI篇

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:

Golang 基于chrome浏览器语音识别web演示系统WebHTK开发之 UI篇


本文名称:Golang基于chrome浏览器语音识别web演示系统WebHTK开发之UI篇
URL标题:http://cdxtjz.cn/article/jsccos.html

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