项目地址：https://github.com/zhanlv/VtDemo

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不提供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）。

创建应用-添加新服务-【语音听写】 

 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();
//支持上传热词,比如用户名、关键字，可提高识别准确率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(注释掉这一行)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;}

注意事项：默认识别语音文件，且格式是WAV或PCM。如果想通过麦克风获取语音，注释 mRecognizer.setParameter(SpeechConstant.AUDIO_SOURCE, "-1")这一行，startRecognizer(null)传入参数为null即可