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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="UTF-8">
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<title>PaddleSpeech Serving-语音实时转写</title>
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<link rel="shortcut icon" href="./static/paddle.ico">
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<script src="../static/js/jquery-3.2.1.min.js"></script>
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<script src="../static/js/recorder/recorder-core.js"></script>
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<script src="../static/js/recorder/extensions/lib.fft.js"></script>
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<script src="../static/js/recorder/extensions/frequency.histogram.view.js"></script>
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<script src="../static/js/recorder/engine/pcm.js"></script>
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<script src="../static/js/SoundRecognizer.js"></script>
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<link rel="stylesheet" href="../static/css/style.css">
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<link rel="stylesheet" href="../static/css/font-awesome.min.css">
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</head>
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<body>
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<div class="asr-content">
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<div class="audio-banner">
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<div class="weaper">
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<div class="text-content">
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<p><span class="title">PaddleSpeech Serving简介</span></p>
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<p class="con-container">
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<span class="con">PaddleSpeech 是基于飞桨 PaddlePaddle 的语音方向的开源模型库，用于语音和音频中的各种关键任务的开发。PaddleSpeech Serving是基于python + fastapi 的语音算法模型的C/S类型后端服务，旨在统一paddle speech下的各语音算子来对外提供后端服务。</span>
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</p>
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</div>
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<div class="img-con">
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<img src="../static/image/PaddleSpeech_logo.png" alt="" />
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</div>
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</div>
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</div>
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<div class="audio-experience">
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<div class="asr-box">
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<h2>产品体验</h2>
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<div id="client-word-recorder" style="position: relative;">
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<div class="pd">
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<div style="text-align:center;height:20px;width:100%;
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border:0px solid #bcbcbc;color:#000;box-sizing: border-box;display:inline-block"
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class="recwave">
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</div>
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</div>
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</div>
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<div class="voice-container">
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<div class="voice-input">
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<span>WebSocket URL：</span>
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<input type="text" id="socketUrl" class="websocket-url" value="ws://127.0.0.1:8091/ws/asr"
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placeholder="请输入服务器地址，如：ws://127.0.0.1:8091/ws/asr">
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<div class="start-voice">
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<button type="primary" id="beginBtn" class="voice-btn">
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<span class="fa fa-microphone"> 开始识别</span>
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</button>
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<button type="primary" id="endBtn" class="voice-btn end">
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<span class="fa fa-microphone-slash"> 结束识别</span>
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</button>
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<div id="timeBox" class="time-box flex-display-1">
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<span class="total-time">识别中，<i id="timeCount"></i> 秒后自动停止识别</span>
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</div>
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</div>
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</div>
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<div class="voice">
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<div class="result-text" id="resultPanel">此处显示识别结果</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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<script>
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var wenetWs = null
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var timeLoop = null
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var result = ""
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$(document).ready(function () {
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$('#beginBtn').on('click', startRecording)
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$('#endBtn').on('click', stopRecording)
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})
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function openWebSocket(url) {
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if ("WebSocket" in window) {
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wenetWs = new WebSocket(url)
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wenetWs.onopen = function () {
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console.log("Websocket 连接成功，开始识别")
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wenetWs.send(JSON.stringify({
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"signal": "start"
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}))
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}
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wenetWs.onmessage = function (_msg) { parseResult(_msg.data) }
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wenetWs.onclose = function () {
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console.log("WebSocket 连接断开")
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}
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wenetWs.onerror = function () { console.log("WebSocket 连接失败") }
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}
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}
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function parseResult(data) {
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var data = JSON.parse(data)
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var result = data.result
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console.log(result)
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$("#resultPanel").html(result)
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}
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function TransferUpload(number, blobOrNull, duration, blobRec, isClose) {
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if (blobOrNull) {
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var blob = blobOrNull
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var encTime = blob.encTime
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var reader = new FileReader()
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reader.onloadend = function () { wenetWs.send(reader.result) }
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reader.readAsArrayBuffer(blob)
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}
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}
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function startRecording() {
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// Check socket url
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var socketUrl = $('#socketUrl').val()
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if (!socketUrl.trim()) {
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alert('请输入 WebSocket 服务器地址，如：ws://127.0.0.1:8091/ws/asr')
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$('#socketUrl').focus()
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return
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}
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// init recorder
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SoundRecognizer.init({
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soundType: 'pcm',
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sampleRate: 16000,
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recwaveElm: '.recwave',
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translerCallBack: TransferUpload
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})
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openWebSocket(socketUrl)
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// Change button state
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$('#beginBtn').hide()
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$('#endBtn, #timeBox').addClass('show')
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// Start countdown
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var seconds = 180
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$('#timeCount').text(seconds)
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timeLoop = setInterval(function () {
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seconds--
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$('#timeCount').text(seconds)
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if (seconds === 0) {
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stopRecording()
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}
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}, 1000)
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}
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function stopRecording() {
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wenetWs.send(JSON.stringify({ "signal": "end" }))
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SoundRecognizer.recordClose()
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$('#endBtn').add($('#timeBox')).removeClass('show')
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$('#beginBtn').show()
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$('#timeCount').text('')
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clearInterval(timeLoop)
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}
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</script>
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</body>
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</html>
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