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');
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=>`
${item}
`).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  `
${l}
`
    }).join('');
  },{
    //识别频率
    overlapFactor:0.3,
    //有75%以上接近，打印结果
    probabilityThreshold:0.75
  });
});

html部分

  
  
  
  


  
语音识别
  

执行结果