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springBoot+vue+百度语音识别

时间:2020-07-14 18:28:01      阅读:93      评论:0      收藏:0      [点我收藏+]

标签:ora   输出   recorder   node   stop   form   fast   exec   写入   

1.将百度语音识别demo下载下来 并且用maven封装成一个jar包 核心代码如下

package com.baidu.speech.restapi.asrdemo;

import com.alibaba.fastjson.JSONObject;
import com.baidu.speech.restapi.asrdemo.common.ConnUtil;
import com.baidu.speech.restapi.asrdemo.common.DemoException;
import com.baidu.speech.restapi.asrdemo.common.TokenHolder;

import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.net.HttpURLConnection;
import java.net.URL;

public class AsrUtil {
    private final boolean METHOD_RAW = false; // 默认以json方式上传音频文件

    //  填写网页上申请的appkey 如 $apiKey="g8eBUMSokVB1BHGmgxxxxxx"
//    private final String APP_KEY = "kVcnfD9iW2XVZSMaLMrtLYIz";
    // my
    private static final String APP_KEY = "XXXXXXXXXXXXXX";

    // 填写网页上申请的APP SECRET 如 $SECRET_KEY="94dc99566550d87f8fa8ece112xxxxx"
//    private final String SECRET_KEY = "O9o1O213UgG5LFn0bDGNtoRN3VWl2du6";
    // my
    private static final String SECRET_KEY = "XXXXXXXXXXXX";

    // 需要识别的文件
    private static final String FILENAME = "16k.pcm";

    // 文件格式, 支持pcm/wav/amr 格式,极速版额外支持m4a 格式
    private static final String FORMAT = FILENAME.substring(FILENAME.length() - 3);


    private static String CUID = "1234567JAVA";

    // 采样率固定值
    private static final int RATE = 16000;

    private static String URL;

    private static int DEV_PID;

    //private int LM_ID;//测试自训练平台需要打开此注释

    private static String SCOPE;

    //  普通版 参数
//    {
//        URL = "http://vop.baidu.com/server_api"; // 可以改为https
//        //  1537 表示识别普通话,使用输入法模型。 其它语种参见文档
//        DEV_PID = 1537;
//        SCOPE = "audio_voice_assistant_get";
//    }

    // 自训练平台 参数
    /*{
        //自训练平台模型上线后,您会看见 第二步:“”获取专属模型参数pid:8001,modelid:1234”,按照这个信息获取 dev_pid=8001,lm_id=1234
        DEV_PID = 8001;
        LM_ID = 1234;
    }*/

    // 极速版 参数
    static {
        URL =   "http://vop.baidu.com/pro_api"; // 可以改为https
        DEV_PID = 80001;
        SCOPE = "brain_enhanced_asr";
    }

    /* 忽略scope检查,非常旧的应用可能没有
    {
        SCOPE = null;
    }
    */

    public static String obtainAsrResult(byte[] bytes) throws IOException, DemoException {
        String resultJson = execute(bytes);
        System.out.println("识别结束:结果是:");
        System.out.println(resultJson);
        return resultJson;
    }


    public static String execute(byte[] bytes) throws IOException, DemoException {
        TokenHolder holder = new TokenHolder(APP_KEY, SECRET_KEY, SCOPE);
        holder.resfresh();
        String token = holder.getToken();
        String result = null;
        result = runJsonPostMethod(token, bytes);
        return result;
    }

    private String runRawPostMethod(String token) throws IOException, DemoException {
        String url2 = URL + "?cuid=" + ConnUtil.urlEncode(CUID) + "&dev_pid=" + DEV_PID + "&token=" + token;
        //测试自训练平台需要打开以下信息
        //String url2 = URL + "?cuid=" + ConnUtil.urlEncode(CUID) + "&dev_pid=" + DEV_PID + "&lm_id="+ LM_ID + "&token=" + token;
        String contentTypeStr = "audio/" + FORMAT + "; rate=" + RATE;
        //System.out.println(url2);
        byte[] content = getFileContent(FILENAME);
        HttpURLConnection conn = (HttpURLConnection) new URL(url2).openConnection();
        conn.setConnectTimeout(5000);
        conn.setRequestProperty("Content-Type", contentTypeStr);
        conn.setRequestMethod("POST");
        conn.setDoOutput(true);
        conn.getOutputStream().write(content);
        conn.getOutputStream().close();
        System.out.println("url is " + url2);
        System.out.println("header is  " + "Content-Type :" + contentTypeStr);
        String result = ConnUtil.getResponseString(conn);
        return result;
    }

    public static String runJsonPostMethod(String token,byte[] bytes) throws DemoException, IOException {

//        byte[] content = getFileContent(FILENAME);
        String speech = base64Encode(bytes);

        JSONObject params = new JSONObject();
        params.put("dev_pid", DEV_PID);
        //params.put("lm_id",LM_ID);//测试自训练平台需要打开注释
        params.put("format", "wav");
        params.put("rate", RATE);
        params.put("token", token);
        params.put("cuid", CUID);
        params.put("channel", "1");
        params.put("len", bytes.length);
        params.put("speech", speech);

        // System.out.println(params.toString());
        HttpURLConnection conn = (HttpURLConnection) new URL(URL).openConnection();
        conn.setConnectTimeout(5000);
        conn.setRequestMethod("POST");
        conn.setRequestProperty("Content-Type", "application/json; charset=utf-8");
        conn.setDoOutput(true);
        conn.getOutputStream().write(params.toString().getBytes());
        conn.getOutputStream().close();
        String result = ConnUtil.getResponseString(conn);


        params.put("speech", "base64Encode(getFileContent(FILENAME))");
        System.out.println("url is : " + URL);
        System.out.println("params is :" + params.toString());


        return result;
    }

    private byte[] getFileContent(String filename) throws DemoException, IOException {
        File file = new File(filename);
        if (!file.canRead()) {
            System.err.println("文件不存在或者不可读: " + file.getAbsolutePath());
            throw new DemoException("file cannot read: " + file.getAbsolutePath());
        }
        FileInputStream is = null;
        try {
            is = new FileInputStream(file);
            return ConnUtil.getInputStreamContent(is);
        } finally {
            if (is != null) {
                try {
                    is.close();
                } catch (IOException e) {
                    e.printStackTrace();
                }
            }
        }

    }

    private static String base64Encode(byte[] content) {
        /**
         Base64.Encoder encoder = Base64.getEncoder(); // JDK 1.8  推荐方法
         String str = encoder.encodeToString(content);
         **/

        char[] chars = Base64Util.encode(content); // 1.7 及以下,不推荐,请自行跟换相关库
        String str = new String(chars);

        return str;
    }
}

调用 obtainAsrResult 方法即可获得识别后字符串

 

2.使用 ffmpeg 对音频进行转码 

  下载ffmpeg 并且将bin目录设置到环境变量即可

代码如下:

@Override
    public String aiAsrTest(MultipartFile file) {
        String r = null;
        try {
            byte[] bytes = file.getBytes();
            // 对上传文件进行转码处理
            String path = "D:\\bwbd\\temp\\";
            File dir = new File(path);
            if (dir == null || !dir.exists()) {
                dir.mkdirs();
            }
            File file1 = new File(path + "16k1.wav");
            file.transferTo(file1);
            File file2 = new File(path + "16k2.wav");
            try {
                logger.info("========音频格式转换======");
                Runtime runtime = Runtime.getRuntime();
                String cutCmd = "ffmpeg -y  -i " + file1 + "  -acodec pcm_s16le -f s16le -ac 1 -ar 16000 " + file2;
                Process proce = runtime.exec(cutCmd);
                InputStream erro = proce.getErrorStream();
                byte[] a = new byte[1024];
                int j = 0;
                while ((j = erro.read(a)) > -1) {
//                logger.info(new String(a));
                }
            } catch (Exception e) {
                e.printStackTrace();
                logger.info("=========文件 "+ file + " 正在转换出现异常");
            }
            byte[] fileByteArray = FileUtil.getFileByteArray(file2);

            String result = AsrUtil.obtainAsrResult(fileByteArray);
            log.info("===ai接口返回:" + result);
            JSONObject jsonObject = JSONObject.parseObject(result);
            Object result1 = jsonObject.get("result");
            if (null != result1) {
                List<String> strings = JSONArray.parseArray(result1.toString(), String.class);
                r = strings.get(0);
                r = new String(r.getBytes(),"utf-8");
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
        return r;
    }

 

最后 附上vue实现音功能 并上传到后台 获得识别后字符串

1.methods域内定义以下方法

initAudio(){
      // this.$nextTick(() => {
        // try {
        //   // <!-- 检查是否能够调用麦克风 -->
        //   window.AudioContext = window.AudioContext || window.webkitAudioContext;
        //   navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia;
        //   window.URL = window.URL || window.webkitURL;
        //
        //   audio_context = new AudioContext;
        //   console.log(‘navigator.getUserMedia ‘ + (navigator.getUserMedia ? ‘available.‘ : ‘not present!‘));
        // } catch (e) {
        //   alert(‘No web audio support in this browser!‘);
        // }
      var _this = this;
      navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia;
      navigator.getUserMedia({audio: true}, function (stream) {
        let recorder = new HZRecorder(stream);
        _this.recorder = recorder;
        console.log(初始化完成);
      }, function(e) {
        console.log(No live audio input:  + e);
      });
      // })
    },
      readyOriginal () {
        if (!this.isVoice) {
          // <!-- 开启录音 -->
          this.recorder && this.recorder.start();
          this.isVoice = true
        } else {
          this.isVoice = false
          // 结束录音
          this.recorder && this.recorder.stop();
          setTimeout(()=> {
            // <!-- 录音上传 --> https://localhost/bwbd/fg/aiAsrTest
            var mp3Blob = this.recorder.upload();
            var fd = new FormData();
            fd.append(file, mp3Blob);
            // this.$axios.post(‘https://localhost/api/webUser/insertUserLog‘,allJoin).then(
            //   res=>{
            //     if(res.data.data===true){
            //       return
            //     }
            //   }
            // )
            this.$axios.post(http://localhost/bwbd/fg/aiAsrTest,fd).then((res) => {
              // 这里做登录拦截
              if (res.data.status === 200) {
                console.log(保存成功);
                console.log(res.data.data)
              } else {
                this.returnmsg = 上传失败
              }
            })
          },1000)
        }
      },

html元素调用 readyOriginal  方法 mounted 域内调用 initAudio 方法

记得引入js文件

import { HZRecorder} from ‘../utils/HZRecorder.js‘;
function HZRecorder(stream, config) {
  config = config || {};
  config.sampleBits = config.sampleBits || 16;   //采样数位 8, 16
  config.sampleRate = config.sampleRate || 16000;  //采样率16khz

  var context = new (window.webkitAudioContext || window.AudioContext)();
  var audioInput = context.createMediaStreamSource(stream);
  var createScript = context.createScriptProcessor || context.createJavaScriptNode;
  var recorder = createScript.apply(context, [4096, 1, 1]);

  var audioData = {
    size: 0     //录音文件长度
    , buffer: []   //录音缓存
    , inputSampleRate: context.sampleRate  //输入采样率
    , inputSampleBits: 16    //输入采样数位 8, 16
    , outputSampleRate: config.sampleRate  //输出采样率
    , oututSampleBits: config.sampleBits    //输出采样数位 8, 16
    , input: function (data) {
      this.buffer.push(new Float32Array(data));
      this.size += data.length;
    }
    , compress: function () { //合并压缩
      //合并
      var data = new Float32Array(this.size);
      var offset = 0;
      for (var i = 0; i < this.buffer.length; i++) {
        data.set(this.buffer[i], offset);
        offset += this.buffer[i].length;
      }
      //压缩
      var compression = parseInt(this.inputSampleRate / this.outputSampleRate);
      var length = data.length / compression;
      var result = new Float32Array(length);
      var index = 0, j = 0;
      while (index < length) {
        result[index] = data[j];
        j += compression;
        index++;
      }
      return result;
    }
    , encodeWAV: function () {
      var sampleRate = Math.min(this.inputSampleRate, this.outputSampleRate);
      var sampleBits = Math.min(this.inputSampleBits, this.oututSampleBits);
      var bytes = this.compress();
      var dataLength = bytes.length * (sampleBits / 8);
      var buffer = new ArrayBuffer(44 + dataLength);
      var data = new DataView(buffer);

      var channelCount = 1;//单声道
      var offset = 0;

      var writeString = function (str) {
        for (var i = 0; i < str.length; i++) {
          data.setUint8(offset + i, str.charCodeAt(i));
        }
      }

      // 资源交换文件标识符
      writeString(RIFF); offset += 4;
      // 下个地址开始到文件尾总字节数,即文件大小-8
      data.setUint32(offset, 36 + dataLength, true); offset += 4;
      // WAV文件标志
      writeString(WAVE); offset += 4;
      // 波形格式标志
      writeString(fmt ); offset += 4;
      // 过滤字节,一般为 0x10 = 16
      data.setUint32(offset, 16, true); offset += 4;
      // 格式类别 (PCM形式采样数据)
      data.setUint16(offset, 1, true); offset += 2;
      // 通道数
      data.setUint16(offset, channelCount, true); offset += 2;
      // 采样率,每秒样本数,表示每个通道的播放速度
      data.setUint32(offset, sampleRate, true); offset += 4;
      // 波形数据传输率 (每秒平均字节数) 单声道×每秒数据位数×每样本数据位/8
      data.setUint32(offset, channelCount * sampleRate * (sampleBits / 8), true); offset += 4;
      // 快数据调整数 采样一次占用字节数 单声道×每样本的数据位数/8
      data.setUint16(offset, channelCount * (sampleBits / 8), true); offset += 2;
      // 每样本数据位数
      data.setUint16(offset, sampleBits, true); offset += 2;
      // 数据标识符
      writeString(data); offset += 4;
      // 采样数据总数,即数据总大小-44
      data.setUint32(offset, dataLength, true); offset += 4;
      // 写入采样数据
      if (sampleBits === 8) {
        for (var i = 0; i < bytes.length; i++, offset++) {
          var s = Math.max(-1, Math.min(1, bytes[i]));
          var val = s < 0 ? s * 0x8000 : s * 0x7FFF;
          val = parseInt(255 / (65535 / (val + 32768)));
          data.setInt8(offset, val, true);
        }
      } else {
        for (var i = 0; i < bytes.length; i++, offset += 2) {
          var s = Math.max(-1, Math.min(1, bytes[i]));
          data.setInt16(offset, s < 0 ? s * 0x8000 : s * 0x7FFF, true);
        }
      }

      return new Blob([data], { type: audio/wav });
    }
  };
  //开始录音
  this.start = function () {
    audioInput.connect(recorder);
    recorder.connect(context.destination);
  }

  //停止
  this.stop = function () {
    recorder.disconnect();
  }

  //获取音频文件
  this.getBlob = function () {
    this.stop();
    return audioData.encodeWAV();
  }

  //回放
  this.play = function (audio) {
    var blob=this.getBlob();
    // saveAs(blob, "F:/3.wav");
    audio.src = window.URL.createObjectURL(this.getBlob());
  }

  //上传
  this.upload = function () {
    return this.getBlob()
  }

  //音频采集
  recorder.onaudioprocess = function (e) {
    audioData.input(e.inputBuffer.getChannelData(0));
    //record(e.inputBuffer.getChannelData(0));
  }

  return this;
}

export {
  HZRecorder
}

 

springBoot+vue+百度语音识别

标签:ora   输出   recorder   node   stop   form   fast   exec   写入   

原文地址:https://www.cnblogs.com/guanxiaohe/p/13300252.html

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