聊天机器人

用到了科大讯飞第三方平台的语音识别和语音合成API，进行机器人说话。

http://www./sdk/dispatcher提供下载SDK

http://www./doccenter/awd查看使用流程。

主要代码

@Override

protected void onCreate(Bundle savedInstanceState) {

super.onCreate(savedInstanceState);

setContentView(R.layout.activity_main);

lvList = (ListView) findViewById(R.id.lv_list);

mAdapter = new TalkAdapter();

lvList.setAdapter(mAdapter);

// 将“12345678”替换成您申请的APPID，申请地址：http://open.

SpeechUtility.createUtility(this, SpeechConstant.APPID + "=54b8bca3");

}

private InitListener mInitListener = new InitListener() {

@Override

public void onInit(int arg0) {

System.out.println("初始化");

}

};

/**

* 开始语音识别

* 

* @param view

*/

public void startVoice(View view) {

RecognizerDialog iatDialog = new RecognizerDialog(this, mInitListener);

iatDialog.setParameter(SpeechConstant.DOMAIN, "iat");

iatDialog.setParameter(SpeechConstant.LANGUAGE, "zh_cn");

iatDialog.setParameter(SpeechConstant.ACCENT, "mandarin ");

iatDialog.setListener(recognizerDialogListener);

iatDialog.show();

}

private StringBuffer mTextBuffer = new StringBuffer();

private RecognizerDialogListener recognizerDialogListener = new RecognizerDialogListener() {

@Override

public void onError(SpeechError arg0) {

}

@Override

public void onResult(RecognizerResult arg0, boolean isLast) {

if (isLast) {

String ask = mTextBuffer.toString();

mTextBuffer = new StringBuffer();// 清空StringBuffer的数据

System.out.println("最终语句:" + ask);

mTalkList.add(new TalkBean(ask, true, -1));

String answer = "没听清";

int imageId = -1;

if (ask.contains("你好")) {

answer = "你好呀!!!";

} else if (ask.contains("你是谁")) {

answer = "我是你的小助手!";

} else if (ask.contains("美女")) {

Random random = new Random();

int nextInt = random.nextInt(4);

answer = mnAnswerText[nextInt];

imageId = mnAnswerImage[nextInt];

} else if (ask.contains("天王盖地虎")) {

answer = "小鸡炖蘑菇";

imageId = R.drawable.m;

}

mTalkList.add(new TalkBean(answer, false, imageId));

mAdapter.notifyDataSetChanged();

lvList.setSelection(mAdapter.getCount());

speak(answer);

}

}

};

/**

* 机器人讲话

*/

private void speak(String answer) {

// 1.创建SpeechSynthesizer对象, 第二个参数：本地合成时传InitListener

SpeechSynthesizer mTts = SpeechSynthesizer

.createSynthesizer(this, null);

// 2.合成参数设置，详见《科大讯飞MSC API手册(Android)》SpeechSynthesizer 类

mTts.setParameter(SpeechConstant.VOICE_NAME, "vixying");// 设置发音人

mTts.setParameter(SpeechConstant.SPEED, "50");// 设置语速

mTts.setParameter(SpeechConstant.VOLUME, "80");// 设置音量，范围0~100

// 设置合成音频保存位置（可自定义保存位置），保存在“./sdcard/iflytek.pcm”

// 保存在SD卡需要在AndroidManifest.xml添加写SD卡权限

// 如果不需要保存合成音频，注释该行代码

mTts.setParameter(SpeechConstant.TTS_AUDIO_PATH, "./sdcard/iflytek.pcm");

// 3.开始合成

mTts.startSpeaking(answer, null);

}

private TalkAdapter mAdapter;

/**

* 解析语音json数据

*/

private String parseJson(String json) {

Gson gson = new Gson();

VoiceBean bean = gson.fromJson(json, VoiceBean.class);

ArrayList<WsBean> ws = bean.ws;

StringBuffer sb = new StringBuffer();

for (WsBean wsBean : ws) {

ArrayList<CwBean> cw = wsBean.cw;

for (CwBean cwBean : cw) {

String w = cwBean.w;

sb.append(w);

}

}

System.out.println("解析数据为:" + sb.toString());

return sb.toString();

}

class TalkAdapter extends BaseAdapter {

@Override

public int getCount() {

return mTalkList.size();

}

@Override

public TalkBean getItem(int position) {

return mTalkList.get(position);

}

@Override

public long getItemId(int position) {

return position;

}

@Override

public View getView(int position, View convertView, ViewGroup parent) {

ViewHolder holder;

if (convertView == null) {

convertView = View.inflate(MainActivity.this,

R.layout.list_item, null);

holder = new ViewHolder();

holder.tvAsk = (TextView) convertView.findViewById(R.id.tv_ask);

holder.tvAnswer = (TextView) convertView

.findViewById(R.id.tv_answer);

holder.ivAnswer = (ImageView) convertView

.findViewById(R.id.iv_pic);

holder.llAnswer = (LinearLayout) convertView

.findViewById(R.id.ll_answer);

convertView.setTag(holder);

} else {

holder = (ViewHolder) convertView.getTag();

}

TalkBean item = getItem(position);

if (item.isAsker) {// 是提问者

holder.llAnswer.setVisibility(View.GONE);

holder.tvAsk.setVisibility(View.VISIBLE);

holder.tvAsk.setText(item.text);

} else {// 是回答者

holder.llAnswer.setVisibility(View.VISIBLE);

holder.tvAsk.setVisibility(View.GONE);

holder.tvAnswer.setText(item.text);

if (item.imageId > 0) {// 如果图片存在

holder.ivAnswer.setVisibility(View.VISIBLE);

holder.ivAnswer.setImageResource(item.imageId);

} else {

holder.ivAnswer.setVisibility(View.GONE);

}

}

return convertView;

}

}

public class ViewHolder {

public TextView tvAsk;

public TextView tvAnswer;

public ImageView ivAnswer;

public LinearLayout llAnswer;

}

}

//保存问答的对象。

public class TalkBean {

public String text;// 问答语句

public boolean isAsker;// 表示是否是提问者, 否则是回答者

public int imageId = -1;

public TalkBean(String text, boolean isAsker, int imageId) {

super();

this.text = text;

this.isAsker = isAsker;

this.imageId = imageId;

}

}

//语音识别数据对象,因为其结果使用Json封装的，所以需要解析合成句子。

public class VoiceBean {

public int bg;

public int ed;

public boolean ls;

public int sn;

ArrayList<WsBean> ws;

public class WsBean {

public int bg;

public ArrayList<CwBean> cw;

}

public class CwBean {

public String sc;

public String w;

}

}