tensorflow.js基本使用 引入语音识别模型(九)
示例import $ from 'jquery';const tf = require('@tensorflow/tfjs');const speechCommands = require('@tensorflow-models/speech-commands');constMODEL_PATH='http://127.0.0.1:8080/speech';$(async ()=>{//创建
·
示例
import $ from 'jquery';
const tf = require('@tensorflow/tfjs');
const speechCommands = require('@tensorflow-models/speech-commands');
const MODEL_PATH='http://127.0.0.1:8080/speech';
$(async ()=>{
//创建语音识别器
const recognizer=speechCommands.create(
'BROWSER_FFT',
null,
MODEL_PATH+'/model.json',
MODEL_PATH+'/metadata.json'
);
//加载模型
await recognizer.ensureModelLoaded();
//查看可识别单词
const labels=recognizer.wordLabels()
console.log(labels);
//创建标签
const element=document.querySelector('#result');
element.innerHTML=labels.map(item=>`<div>${item}</div>`).join('');
//设置语音监听
recognizer.listen(res=>{
//找出识别最接近的值
const {scores}=res;
const maxValue=Math.max(...scores);
const index=scores.indexOf(maxValue);
console.log(labels[index]);
element.innerHTML=labels.map((l,i)=>{
return `<div style="background:${i===index && 'green'}">${l}</div>`
}).join('');
},{
//识别频率
overlapFactor:0.3,
//有75%以上接近,打印结果
probabilityThreshold:0.75
});
});
html部分
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
<style>
h3{
text-align: center;
}
#result{
display: flex;
justify-content: flex-start;
flex-wrap: wrap;
}
#result>div{
width: 150px;
height: 150px;
line-height: 150px;
margin-right: 30px;
text-align: center;
}
</style>
</head>
<body>
<h3>语音识别</h3>
<div id="result"></div>
</body>
<script src="./t8.js"></script>
</html>
执行结果
更多推荐
已为社区贡献3条内容
所有评论(0)