300字范文 > 基于百度AI开放平台的人脸识别及语音合成

基于百度AI开放平台的人脸识别及语音合成

时间：2021-01-20 16:15:38

基于百度AI的人脸识别及语音合成课题

课题需求

（1）人脸识别

在Web界面上传人的照片，后台使用Java技术接收图片，然后对图片进行解码，调用云平台接口识别人脸特征，接收平台返回的人员年龄、性别、颜值等信息，将信息返回到Web界面进行显示。

（2）人脸比对

在Web界面上传两张人的照片，后台使用Java技术接收图片，然后对图片进行解码，调用云平台接口比对照片信息，返回相似度。

（3）语音识别

在Web页面上传语音文件，判断语音文件格式，如果不是wav格式进行转码处理，然后调用平台接口进行识别，最后将识别的文本内容返回到Web界面进行显示。

（4）语音合成

在Web界面上传文本内容和语音类型，后台接收文本内容和语音类型后，调用平台接口生成语音数据，最后将数据转码成mp3格式文件，Web界面可以下载到本地。

课题设计

课题基于客户端—服务端-平台端构架，客户端主要实现功能界面展示、数据上传和处理结果展示；服务器端接收客户端数据、数据转码处理、平台接口调用、请求结果相应；平台端介绍服务端数据、人脸识别、人脸比对、语音识别、语音合成等。

总体架构

总体逻辑

前端设计（包括首页、人脸检测、人脸对比、语音识别及语音合成）

index.html

<!DOCTYPE html><html lang="zh-cn"><head><meta charset="UTF-8"><title>人工智能未来已来</title><link rel="stylesheet" href="css/button.min.css" /><link rel="stylesheet" href="css/style.css" /><script type='text/javascript' src='js/jquery-1.11.1.min.js'></script><script type='text/javascript' src='js/jquery.particleground.min.js'></script><script type='text/javascript' src='js/ai.js'></script></head><body><div id="context"><div class="intro"><div class="position"><h1>人工智能未来已来</h1><div class="svg-wrapper"><svg height="140" width="450" xmlns="/2000/svg"><rect id="shape" height="140" width="300" /><div id="text"><a href="face_recognition.html"><span class="spot"></span>人脸检测</a></div></svg></div><div class="svg-wrapper"><svg height="140" width="450" xmlns="/2000/svg"><rect id="shape" height="140" width="300" /><div id="text"><a href="face_match.html"><span class="spot"></span>人脸比对</a></div></svg></div><div class="svg-wrapper"><svg height="140" width="450" xmlns="/2000/svg"><rect id="shape" height="140" width="300" /><div id="text"><a href="speech_recognition.html"><span class="spot"></span>语音识别</a></div></svg></div><div class="svg-wrapper"><svg height="140" width="450" xmlns="/2000/svg"><rect id="shape" height="140" width="300" /><div id="text"><a href="speech_produce.html"><span class="spot"></span>语音合成</a></div></svg></div></div></div></div></body></html>

face_recognition.html

<!DOCTYPE html><html><head><meta charset="utf-8" /><title>人脸识别</title><meta name="viewport" content="width=device-width,initial-scale=1,minimum-scale=1,maximum-scale=1,user-scalable=no" /><script src="js/jquery-2.1.0.js" type="text/javascript" charset="utf-8"></script><script src="js/jquery.particleground.min.js" type="text/javascript" charset="utf-8"></script><script src="js/ai.js" type="text/javascript" charset="utf-8"></script><link rel="stylesheet" type="text/css" href="css/style.css" /><style type="text/css">.cent_bg {width: 80%;height: 22em;border: 1px solid rgba(255, 255, 255, 0.5);margin: auto;padding: 3% 6%;border-radius: 10%;font-size: 1.5em;line-height: 2em;position: relative;}.cent {margin-top: 1.5em;overflow-y: auto;height: 80%;text-indent: 2em;text-align: left;padding-right: 0.2em;}::-webkit-scrollbar {width: 10px;background-color: rgba(255,255,255,0.2);}/*定义滚动条轨道内阴影+圆角*/::-webkit-scrollbar-track {border-radius: 5px;background-color: transparent;}/*定义滑块内阴影+圆角*/::-webkit-scrollbar-thumb {border-radius: 10px;background-color: rgba(255,255,255,0.7);}.btn{margin-top: 20px;width: 70%;height:80px;transition: 0.4s;border-radius: 1em;border: 1px solid rgba(255, 255, 255, 0.5);border-top:none;z-index: 66;background: rgba(255, 255, 255, 0.2);}.btn:hover{border: 1px solid rgba(255, 255, 255, 0.8) !important;border-top:none !important;}.btn span{width: 40%;height: 84%;margin-top:6px;line-height: 38px;display: inline-block;border: 1px solid #009FFD;color: #fff;background: rgba(255,255,255,0.4);border-radius: 4px;cursor: pointer;}.btn span:nth-of-type(1){margin-right: 15px;}.btn span:nth-of-type(2){margin-left: 15px;}.img{width: 70%;height: 100%;float: left;position: relative;}.xinxi{width: 30%;height: 100%;float: left;}.biankuang{width: 92%;height: 150%;top: -100px;position: absolute;background: url(img/biankuang.png) no-repeat;background-size: 100% 100%;}.xinxi{text-align: left;}.xinxi span{margin-top: 50px;}.xinxi span a{color: #FFFFFF;text-decoration: none;}#neirong{color: red;}</style></head><body><div id="context"><div class="intro"><div class="cent_bg"><div class="img"><div class="biankuang"><img src="img/img111.jpg" id='img' style="width: 83%;height: 55%;position: absolute;left: 49px;top: 150px;"/> </div></div><div class="xinxi"><span style="display: block;">性别：<a href="" id="sex"></a></span><span style="display: block;">年龄：<a href="" id="age"></a><span style="margin-left: 10px;">岁</span></span><span style="display: block;">表情：<a href="" id="expression"></a></span><span style="display: block;">颜值：<a href="" id="beauty"></a></span><span style="display: block;"><a href="" id="neirong"></a></span></div></div><div class="btn"><form id="renlian" method="post"><span style="position: relative;">提交图片<input type="file" name="image" value="" id="uploading" onchange="test()" style="opacity: 0;width: 100%;position: absolute;height: 100%;display: block;top: 0px;" /></span><span id="tijiao">开始识别</span></form></div></div></div></body></html><script type="text/javascript">function test() {var file = document.getElementById("uploading").files[0];var fr = new FileReader;var filePath = document.querySelector("#uploading").value;fileFormat = filePath.substring(filePath.lastIndexOf(".")).toLowerCase();if(!fileFormat.match(/.png|.jpg|.jpeg/)) {alert('上传错误,文件格式必须为：png/jpg/jpeg');return;} else {fr.readAsDataURL(file);fr.onload = function(e) {document.getElementById("img").src = this.result;}}}$("#tijiao").click(function() {$.ajax({type: "post",url: basePath + "/FaceDetect",dataType: "json",data: new FormData($('#renlian')[0]),processData: false,contentType: false,beforeSend: function() {uploading = true;},success: function(res) {if(res.status=="200"){$("#neirong").text("");$("#sex").text(res.data.gender);$("#age").text(res.data.age);$("#expression").text(res.data.expression);$("#beauty").text(res.data.beauty);}else{$("#neirong").text("无法识别");}},error(xhr,status,error){$("#neirong").text("后台服务异常");return;}})})</script>

face_match.html

<!DOCTYPE html><html><head><meta charset="UTF-8"><title>人脸比对</title><script src="js/jquery-2.1.0.js" type="text/javascript" charset="utf-8"></script><script src="js/jquery-2.1.0.js" type="text/javascript" charset="utf-8"></script><script src="js/jquery.particleground.min.js" type="text/javascript" charset="utf-8"></script><script src="js/ai.js" type="text/javascript" charset="utf-8"></script><link rel="stylesheet" type="text/css" href="css/style.css" /><style type="text/css">#dianji:hover{transition: 0.5s;background: skyblue;}.sss{display: inline-block;line-height:100px ;border-radius: 100%; width: 200px;margin: auto; height: 200px; border: 1px solid white;margin-top: 10%;}</style></head><body><div id="context"><div class="intro"><div style="overflow: hidden; position: relative;top: 40%; overflow: hidden;margin: auto;text-align: center;"><div style="border: 1px solid white; width: 30%; height: 400px; float: left;"><img id="ig1" src="" alt="" style="width: 100%; height: 100%"/></div><div class="sss">相似度</div><div style="border: 1px solid white; width: 30%; height: 400px; float: right;"><img id="ig2" src="" alt="" style="width: 100%; height: 100%;"/></div></div><form id="tttt" method="post" style="width: 80%; margin:40px auto;"><div style="width: 40%;float: left; position: relative;"><span style="position: absolute;left: 0px;background: skyblue;display: inline-block;height: 40px;line-height: 40px;width: 160px;">点击上传</span><input style="opacity: 0; position: absolute;left: 0px; height: 40px;" id="uploading" type="file" onchange="upload1()" name="image1"></div><div style="float: right;bwidth: 40%;float: right;position: relative;"><span id="" style="position: absolute;right: 0px;background: skyblue;display: inline-block;height: 40px;line-height: 40px;width: 160px;">点击上传</span><input id="up" type="file" onchange="upload2()" name="image2" style="opacity: 0; position: absolute;right: 0px; height: 40px;" ></div></form><div id="dianji" style="border: 1px solid white;width: 140px;height: 40px;line-height: 40px;border-radius: 15px; margin: auto;">开始比对</div></div></div></body><script type="text/javascript">function upload1() {var file = document.getElementById("uploading").files[0];var fr = new FileReader;var filePath = document.querySelector("#uploading").value;fileFormat = filePath.substring(filePath.lastIndexOf(".")).toLowerCase();if(!fileFormat.match(/.png|.jpg|.jpeg/)) {alert('上传错误,文件格式必须为：png/jpg/jpeg');return;} else {fr.readAsDataURL(file);fr.onload = function(e){document.getElementById("ig1").src = this.result;}}}function upload2() {var file = document.getElementById("up").files[0];var fr = new FileReader;var filePath = document.querySelector("#up").value;fileFormat = filePath.substring(filePath.lastIndexOf(".")).toLowerCase();if(!fileFormat.match(/.png|.jpg|.jpeg/)) {alert('上传错误,文件格式必须为：png/jpg/jpeg');return;} else {fr.readAsDataURL(file);fr.onload = function(e){document.getElementById("ig2").src = this.result;}}}$(function() {$("#dianji").click(function() {$.ajax({url: basePath+"/FaceMatch",type: 'post',cache: false,data: new FormData($('#tttt')[0]),processData: false,contentType: false,dataType: "json",beforeSend: function() {uploading = true;},success: function(data) {if(data.status==200){document.querySelector(".sss").innerHTML="相似度<br>"+data.data.score;}else{$(".sss").html("相似度<br><span style='color:red'>"+data.msg+"</span>");}},error(xhr,status,error){$(".sss").html("相似度<br><span style='color:red'>后台服务异常</span>");return;}});});});</script></html>speech_recognition.html<!DOCTYPE html><html><head><meta charset="utf-8" /><title>语音识别</title><meta name="viewport" content="width=device-width,initial-scale=1,minimum-scale=1,maximum-scale=1,user-scalable=no" /><script src="js/jquery-2.1.0.js" type="text/javascript" charset="utf-8"></script><script src="js/jquery.particleground.min.js" type="text/javascript" charset="utf-8"></script><script src="js/ai.js" type="text/javascript" charset="utf-8"></script><link rel="stylesheet" type="text/css" href="css/style.css" /><style type="text/css">.cent_bg {width: 80%;height: 22em;border: 1px solid rgba(255, 255, 255, 0.5);margin: auto;padding: 3% 6%;border-radius: 10%;font-size: 1.5em;line-height: 2em;position: relative;}.cent {margin-top: 1.5em;overflow-y: auto;height: 80%;text-indent: 2em;text-align: left;padding-right: 0.2em;}::-webkit-scrollbar {width: 10px;background-color: rgba(255, 255, 255, 0.2);}/*定义滚动条轨道内阴影+圆角*/::-webkit-scrollbar-track {border-radius: 5px;background-color: transparent;}/*定义滑块内阴影+圆角*/::-webkit-scrollbar-thumb {border-radius: 10px;background-color: rgba(255, 255, 255, 0.7);}#ttttt{display: none;}.btn {margin-top: 20px;width: 70%;height: 80px;transition: 0.4s;border-radius: 1em;border: 1px solid rgba(255, 255, 255, 0.5);border-top: none;z-index: 66;overflow: hidden;position: relative;background: rgba(255, 255, 255, 0.2);}.btn:hover {border: 1px solid rgba(255, 255, 255, 0.8) !important;border-top: none !important;}.btn span {width: 40%;height: 84%;margin-top: 6px;line-height: 38px;display: inline-block;border: 1px solid #009FFD;color: #fff;background: rgba(255, 255, 255, 0.4);border-radius: 4px;cursor: pointer;}.btn span:nth-of-type(1) {margin-right: 15px;position: relative;}.btn span:nth-of-type(2) {margin-left: 15px;}input{width: 100%;height: 100%;border: 1px solid red;position: absolute;top: 0;left: 0;opacity: 0;}.img{width: 60px;height: 60px;margin: auto;text-align: center;position: relative;}.img img{width: 100%;height: 100%;position: absolute;top: 0;left: 0;}.mmm{width: 100%;height: 100%;position: absolute;top: 0;left: 0;z-index: 999;display: none;cursor: pointer;background: #b9fff4;color: aqua;line-height: 80px;}</style></head><body><div id="context"><div class="intro"><div class="cent_bg"><h3>语音识别内容：</h3><div class="cent"></div></div><div class="btn"><span>上传文件</span><span>开始识别</span><div class="mmm">正在识别...</div></div><form id="ttttt" action="" method="post"><input type="file" name="voice" value=""></form></div></div></body></html><script type="text/javascript">$(function() {$(".btn span:nth-of-type(1)").click(function() {$('#ttttt input[name="voice"]').click();})$(".btn span:nth-of-type(2)").click(function() {if(document.querySelector("input").value==""){return alert("未选择文件");}$(".mmm").css("display","block");$(".cent").html('<div class="img"><img src="img/timg.gif"/></div>');$.ajax({url: basePath + "/VoiceRecognize",type: 'post',cache: false,data: new FormData($('#ttttt')[0]),processData: false,contentType: false,dataType: "json",beforeSend: function() {uploading = true;},success: function(data) {if (data.status=="200") {$(".cent").html(data.data.text);$(".mmm").css("display","none");} else{$(".cent").html("未能识别 "+data.msg);$(".mmm").css("display","none");}}});});});</script>

speech_produce.html

<!DOCTYPE html><html><head><meta charset="utf-8" /><title>语音合成</title><meta name="viewport" content="width=device-width,initial-scale=1,minimum-scale=1,maximum-scale=1,user-scalable=no" /><script src="js/jquery-2.1.0.js" type="text/javascript" charset="utf-8"></script><script src="js/jquery.particleground.min.js" type="text/javascript" charset="utf-8"></script><script src="js/ai.js" type="text/javascript" charset="utf-8"></script><link rel="stylesheet" type="text/css" href="css/style.css" /><style type="text/css">#error {width: 60%;height: 120px;line-height: 120px;text-align: center;font-size: 1.5em;position: absolute;top: 50%;left: 50%;transform: translate(-50%, -65%);z-index: 999;}.cent_bg {width: 80%;height: 22em;border: 1px solid rgba(255, 255, 255, 0.5);margin: auto;padding: 3% 6%;border-radius: 10%;font-size: 1.5em;line-height: 2em;position: relative;}.cent {margin-top: 1em;width: 100%;background: rgba(0, 0, 0, .5);overflow-y: auto;height: 80%;color: white;font-size: 1.3em;text-indent: 1em;padding: .8em;border: none;resize: none;outline-color: white;}::-webkit-scrollbar {width: 10px;background-color: rgba(255, 255, 255, 0.2);}/*定义滚动条轨道内阴影+圆角*/::-webkit-scrollbar-track {border-radius: 5px;background-color: transparent;}/*定义滑块内阴影+圆角*/::-webkit-scrollbar-thumb {border-radius: 10px;background-color: rgba(255, 255, 255, 0.7);}.btn {width: 70%;height: 40px;transition: 0.4s;border-bottom-left-radius: 1em;border-bottom-right-radius: 1em;border: 1px solid rgba(255, 255, 255, 0);border-top: none;z-index: 66;background: rgba(255, 255, 255, 0.2);padding: 5px 0px;}.btn #btnSub:hover {border: 1px solid rgba(255, 255, 255) !important;color: white;}.btn #btnSub {width: 40%;height: 100%;line-height: 25px;display: inline-block;border: 1px solid #009FFD;color: #fff;background: rgba(255, 255, 255, 0.4);border-radius: 4px;font-size: 1.1em;cursor: pointer;}#select {margin: auto;margin-top: 10px;width: 70%;height: 30px;border-top-left-radius: 1em;border-top-right-radius: 1em;transition: 0.4s;border-top: none;z-index: 66;background: rgba(255, 255, 255, 0.2);}#selectBox {width: 70%;height: 30px;margin: 0 auto;}#mantext,#womantext {font-size: 1.25em;line-height: 30px;float: left;}#mantext {text-align: center;}#woman {}.inputBox {width: 50%;height: 30px;float: left;}#man,#woman {margin-top: 6px;display: block;float: left;width: 20px;height: 20px;}</style></head><body><div id="error">请在此输入文本内容</div><div id="context"><div class="intro"><form method="post" enctype="multipart/form-data" id="Voice"><div class="cent_bg"><h3>请输入要合成的语音文本：</h3><textarea id="Content" class="cent" name="text"></textarea></div><div id="select"><div id="selectBox"><div class="inputBox"><label id="mantext" for="man" style="float: right;">男声</label><input id="man" type="radio" name="voiceType" checked value="1" style="float: right;" /></div><div class="inputBox"><input id="woman" type="radio" name="voiceType" value="2" /><label id="womantext" for="woman">女声</label></div></div></div><div class="btn"><button id="btnSub" type="submit">合成语音</button></div></form></div></div></body><script>$(function() {var cor=0;var stop=setInterval(function(){$('#error').fadeToggle(700);cor++;if(cor==3){clearInterval(stop);}},700);$('#btnSub').on('click', function() {cor=0;var Text = $('#Content').val();if(Text.length == 0) {var stop=setInterval(function(){$('#error').fadeToggle(700);cor++;if(cor==4){clearInterval(stop);}},700);return false;}});// 服务器请求地址$('#Voice').attr('action', basePath+"/VoiceGen");});</script></html>

ai.js

// 服务器主地址var basePath="127.0.0.1:8080/AIProject"// 背景效果$(document).ready(function() {$('#context').particleground({dotColor: '#5cbdaa',lineColor: '#5cbdaa'});$('.intro').css({'margin-top': -($('.intro').height() / 2)});});

style.css

/*********CSS初始化*********/html,body,div,span,applet,object,iframe,h1,h2,h3,h4,h5,h6,p,blockquote,pre,a,abbr,acronym,address,big,cite,code,del,dfn,em,img,ins,kbd,q,s,samp,small,strike,strong,sub,sup,tt,var,b,u,i,center,dl,dt,dd,ol,ul,li,fieldset,form,label,legend,table,caption,tbody,tfoot,thead,tr,th,td,article,aside,canvas,details,embed,figure,figcaption,footer,header,hgroup,menu,nav,output,ruby,section,summary,time,mark,audio,video {margin: 0;padding: 0;border: 0;font-size: 100%;font: inherit;vertical-align: baseline;}article,aside,details,figcaption,figure,footer,header,hgroup,menu,nav,section {display: block;}body {line-height: 1;}ol,ul {list-style: none;}blockquote,q {quotes: none;}blockquote:before,blockquote:after,q:before,q:after {content: '';content: none;}table {border-collapse: collapse;border-spacing: 0;}/* particleground demo */*{-webkit-box-sizing: border-box;-moz-box-sizing: border-box;box-sizing: border-box;}html,body {width: 100%;height: 100%;/*overflow: scroll;*/}/*********CSS初始化结束*********/body {background: #202AA3;font-family: 'Montserrat', sans-serif;color: #fff;line-height: 1.3;-webkit-font-smoothing: antialiased;}#particles {width: 100%;height: 100%;overflow: hidden;}.intro {position: absolute;left: 0;top: 50%;padding: 0 20px;width: 100%;text-align: center;}h1 {text-transform: uppercase;font-size: 85px;font-weight: 700;letter-spacing: 0.015em;}h1::after {content: '';width: 60%;display: block;background: #fff;height: 10px;margin: 30px auto;line-height: 1.1;}p {margin: 0 0 30px 0;font-size: 24px;}.btn {display: inline-block;padding: 15px 30px;border: 2px solid #fff;text-transform: uppercase;letter-spacing: 0.015em;font-size: 18px;font-weight: 700;line-height: 1;color: #fff;text-decoration: none;-webkit-transition: all 0.4s;-moz-transition: all 0.4s;-o-transition: all 0.4s;transition: all 0.4s;}.btn:hover {color: #005544;border-color: #005544;}@media only screen and (max-width: 1000px) {h1 {font-size: 70px;}}@media only screen and (max-width: 800px) {h1 {font-size: 48px;}h1::after {height: 8px;}}@media only screen and (max-width: 568px) {.intro {padding: 0 10px;}h1 {font-size: 30px;}h1::after {height: 6px;}p {font-size: 18px;}.btn {font-size: 16px;}}@media only screen and (max-width: 320px) {h1 {font-size: 28px;}h1::after {height: 4px;}}

接口规范

数据交互类型：JSON

请求数据：请求数据除了请求参数以外，还需另外发送以下参数：(否则会返回403状态码)

返回数据格式：

{"status": "200","msg":"","data": {"namename":"user","password":"password"}}

（1）人脸识别

接口名：FaceDetect

请求参数：

返回参数：

（2）人脸比对

接口名：FaceMatch

请求参数：

返回参数：

（3）语音识别

接口名：VoiceRecognize

请求参数：

返回参数：

（4）语音生成

接口名：VoiceGen

返回参数：

Mp3音频格式文件

请求注意事项

 请求体格式化：Content-Type为application/json，通过json格式化请求体。

 Base64编码：请求的图片需经过Base64编码，图片的base64编码指将图片数据编码成一串字符串，使用该字符串代替图像地址。您可以首先得到图片的二进制，然后用Base64格式编码即可。需要注意的是，图片的base64编码是不包含图片头的，如data:image/jpg;base64,

 图片格式：现支持PNG、JPG、JPEG、BMP，不支持GIF图片

实例代码

1. 人脸识别实例代码

// 配置请求参数HashMap<String, String> options = new HashMap<String, String>();options.put("face_field", "age,gender,glasses,beauty,expression");options.put("max_face_num", "2");options.put("face_type", "LIVE");// 转换成base64String image = Base64Util.part2Base64(imagePart);String imageType = "BASE64";// 接口调用，并返回JSON数据JSONObject json = client.detect(image, imageType, options);// 响应数据处理Map<String, Object> map = new HashMap<>();// 获取人脸信息列表JSONObject result = json.getJSONObject("result").getJSONArray("face_list").getJSONObject(0);// 响应数据：性别JSONObject genderObj = result.getJSONObject("gender");String genderStr = genderObj.getString("type");if(genderObj.getDouble("probability") >= 0.6) {//概率并转换if("female".equals(genderStr)) {genderStr = "女";}else if("male".equals(genderStr)) {genderStr = "男";}}map.put("gender", genderStr);// 返回接口数据return ResponseData.success(map);

2. 人脸对比实例代码

// 转换成base64String image1 = Base64Util.part2Base64(imagePart1);String image2 = Base64Util.part2Base64(imagePart2);// 封装平台接口请求对象MatchRequest req1 = new MatchRequest(image1, "BASE64");MatchRequest req2 = new MatchRequest(image2, "BASE64");ArrayList<MatchRequest> requests = new ArrayList<MatchRequest>();requests.add(req1);requests.add(req2);// 人脸匹配JSONObject json = client.match(requests);// 响应数据处理Map<String, Object> map = new HashMap<>();// 匹配分值double score = json.getJSONObject("result").getDouble("score");return ResponseData.success(map);

3. 语音识别实例代码

// 文件类型String fileType = voicePart.getContentType();if(fileType.endsWith("mp3")) {fileType = MP3;}else if(fileType.endsWith("wav")) {fileType = WAV;}else {return ResponseData.fail("请上传mp3、wav音频");}try {// 获取音频字符流InputStream is = voicePart.getInputStream();// 保存临时音频文件String filename = new SimpleDateFormat("yyyyMMddHHmmssSSS").format(Calendar.getInstance().getTime());File tmpVoice = new File(workspace + File.separator + filename+fileType);VoiceUtil.saveVoiceFile(is, tmpVoice);if(fileType.equals(MP3)) {File mp3File = tmpVoice;tmpVoice = new File(tmpVoice.getPath().replace(MP3, WAV));if(!VoiceUtil.mp3ToWav(mp3File, tmpVoice)) {return ResponseData.fail("mp3音频文件错误，请用wav音频。");}mp3File.delete();}// 调用百度接口JSONObject json = client.asr(tmpVoice.getPath(), "wav", 16000, null);tmpVoice.delete();Integer status = json.getInt("err_no"); //状态码if(status != 0) {// 异常响应处理String msg = json.getString("err_msg");log.warn("百度接口调用响应异常,error_code:"+status + " error_msg:"+msg);return ResponseData.fail(msg);}// 响应数据处理Map<String, Object> map = new HashMap<>();// 获取结果JSONArray jsonArray = json.getJSONArray("result");// 识别文本String text = jsonArray.getString(0);map.put("text", text);return ResponseData.success(map);} catch (Exception e) {log.warn("识别音频文件错误：", e);;}

4. 语音合成实例代码

// 请求参数HashMap<String, Object> options = new HashMap<String, Object>();// 语速，取值0-9，默认为5中语速options.put("spd", "5");// 音调，取值0-9，默认为5中语调options.put("pit", "5");// 发音人选择, 0为女声，1为男声， 3为情感合成-度逍遥，4为情感合成-度丫丫，默认为普通女options.put("per", voiceType);// 调用百度api接口TtsResponse res = client.synthesis(text, "zh", 1, options);byte[] data = res.getData();return data;

效果展示

源码下载地址：/jcdjor/AIProject

PS：欢迎大家给予评论、建议和下载学习，下面为源码的一些说明
AIProject.zip为后端代码，为eclipse项目，app.properties文件需要自己配置百度云开发平台的AppID、APIKey、SecretKey。Web.zip为前端代码，前后端分离，可直接运行使用。运行环境，对版本没太大要求，但jdk和tomcat要对应JDK：我使用的版本为JDK1.8，官方下载地址
Tomcat：，我使用的版本为tomcat 9，官方下载地址；注意需要百度云开放平台的AppID、APIKey、SecretKey，百度云AI开放平台：/

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