Android语音转文字一识别语音

讯飞AndroidSDK文档：https://doc.xfyun.cn/msc_android/%E9%A2%84%E5%A4%87%E5%B7%A5%E4%BD%9C.html

讯飞语音SDK不支持android平台语音转写的功能（只支持java平台，当然android可以通过访问后台去请求），这里是通过语音听写来识别音频文件内容，支持音频长度≤60s（没有测试过音频文件这么长的）。

 集成讯飞语音SDK到项目后,可以创建一个识别类,将下面代码复制到项目即可

创建SpeechRecognizer实例，一些初始化操作

   @Override public void start(Context context) {  
    mRecognizer = SpeechRecognizer.createRecognizer(mContext, mInitListener);
    mSpeechResult = new StringBuilder();
    if (mRecognizer == null) {
      return;
    }
    mUserList = UserManager.getUserList();
    UserWords userWords = new UserWords();
//上传热词,比如用名，关键字，可提高识别准确度
    for (User user : mUserList) {
      userWords.putWord(user.getName());
    }
    mRecognizer.setParameter(SpeechConstant.ENGINE_TYPE, SpeechConstant.TYPE_CLOUD);
    mRecognizer.setParameter(SpeechConstant.TEXT_ENCODING, "utf-8");
    ret = mRecognizer.updateLexicon("userword", userWords.toString(), new LexiconListener() {
      @Override public void onLexiconUpdated(String s, SpeechError error) {
        if (error != null) {
          LogUtil.e(error.toString());
        } else {
          LogUtil.e("success");
        }
      }
    });
    if (ret != ErrorCode.SUCCESS) mView.showTip("上传热词失败,错误码：" + ret);
}

设置识别参数：

//设置参数
 public void setParam(String vadEos, String asrPtt, String asrPath) {
    if (mRecognizer == null) {
      return;
    }
    mView.stopPlayer();
    mRecognizer.setParameter(SpeechConstant.PARAMS, null);
    // 设置引擎
    mRecognizer.setParameter(SpeechConstant.ENGINE_TYPE, SpeechConstant.TYPE_CLOUD);
    // 设置返回结果格式
    mRecognizer.setParameter(SpeechConstant.RESULT_TYPE, "json");
    mRecognizer.setParameter(SpeechConstant.LANGUAGE, "zh_cn");
    // 设置语言区域
    mRecognizer.setParameter(SpeechConstant.ACCENT, "zh_cn");

    // 设置语音前端点:静音超时时间，即用户多长时间不说话则当做超时处理
    mRecognizer.setParameter(SpeechConstant.VAD_BOS, "4000");

    // 设置语音后端点:后端点静音检测时间，即用户停止说话多长时间内即认为不再输入， 自动停止录音
    mRecognizer.setParameter(SpeechConstant.VAD_EOS, vadEos);

    // 设置标点符号,设置为"0"返回结果无标点,设置为"1"返回结果有标点
    mRecognizer.setParameter(SpeechConstant.ASR_PTT, asrPtt);

    mRecognizer.setParameter(SpeechConstant.AUDIO_FORMAT, "wav");
    //是否保存识别语音文件
    mRecognizer.setParameter(SpeechConstant.ASR_AUDIO_PATH, asrPath);
    
     //设置音频资源,通过写音频流方式(-1),如果通过Android自带的录音机录制音频方式(可以不用设置)
      mRecognizer.setParameter(SpeechConstant.AUDIO_SOURCE, "-1");
    

  }
    //设置参数完成后,开始识别
  public void startRecognizer(File asrFile) {
    ret = mRecognizer.startListening(mRecognizerListener);

    if (ret != ErrorCode.SUCCESS) {
      mView.showTip("听写失败,错误码：" + ret);
      return;
    }

    if (asrFile == null) {
      return;
    }

    final byte[] audioData = FileUtils.readFile(asrFile);
    if (audioData != null) {
      mRecognizer.writeAudio(audioData, 0, audioData.length);
      mRecognizer.stopListening();
    } else {
      mRecognizer.cancel();
      LogUtil.e("read audiorecord file failed!");
    }
  }

监听识别结果：

 private RecognizerListener mRecognizerListener = new RecognizerListener() {

    @Override public void onBeginOfSpeech() {
      mView.showTip("开始说话");
      mSpeechResult.delete(0, mSpeechResult.length());
    }

    @Override public void onEndOfSpeech() {
      mView.showTip("结束说话");
    }

    @Override public void onResult(RecognizerResult results, boolean isLast) {

      final String result = JsonParser.parseIatResult(results.getResultString());
      mSpeechResult.append(result);
    //可在这打印结果 mSpeechResult.toString();

    }

    @Override public void onError(SpeechError error) {
      mView.showTip(error.getPlainDescription(true));
    }

    @Override public void onVolumeChanged(int volume, byte[] data) {
      mView.showTip("当前正在说话，音量大小：" + volume);
    }

    @Override public void onEvent(int eventType, int arg1, int arg2, Bundle obj) {
    }
  };

FileUtils

public static byte[] readFile(File file) {
    FileInputStream fis = null;
    byte[] bytes = null;
    try {
      fis = new FileInputStream(file);
      bytes = new byte[fis.available()];
      fis.read(bytes);
    } catch (Exception e) {
      e.printStackTrace();
    } finally {
      if (fis != null) {
        try {
          fis.close();
        } catch (IOException e) {
          e.printStackTrace();
        }
      }
    }
    return bytes;
  }