基本信息
源码名称:仿siri聊天机器人
源码大小:4.49M
文件格式:.zip
开发语言:Java
更新时间:2016-10-07
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   源码介绍
类似Siri一样的语音聊天 给你带来无限乐趣

public class MainActivity extends Activity {

private ListView lvList;
StringBuffer mBuffer = new StringBuffer();

private String[] mAnswers = new String[] { "这张怎么样?", "约吗?", "老地方见!",
"不要再要美女了", "最后一张了" };

private int[] mAnswerPics = new int[] { R.drawable.p1, R.drawable.p2,
R.drawable.p3, R.drawable.p4 };

private ArrayList<TalkBean> mTalkList = new ArrayList<TalkBean>();// 会话集合
private MyAdapter mAdapter;

@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);

// 初始化语音识别
SpeechUtility.createUtility(this, SpeechConstant.APPID "=55cfe490");

setContentView(R.layout.activity_main);
lvList = (ListView) findViewById(R.id.lv_list);
mAdapter = new MyAdapter();
lvList.setAdapter(mAdapter);
}

// 开始识别
public void startRecognize(View view) {
// 1.创建RecognizerDialog对象
RecognizerDialog mDialog = new RecognizerDialog(this, null);
// 2.设置accent、language等参数
mDialog.setParameter(SpeechConstant.LANGUAGE, "zh_cn");
mDialog.setParameter(SpeechConstant.ACCENT, "mandarin");

// 3.设置回调接口
mDialog.setListener(new RecognizerDialogListener() {

@Override
public void onResult(RecognizerResult results, boolean isLast) {
System.out.println("isLast:" isLast);
String parseResult = parseData(results.getResultString());
mBuffer.append(parseResult);

if (isLast) {
// 会话已经结束
String finalResult = mBuffer.toString();
System.out.println("最终结果:" finalResult);

mBuffer = new StringBuffer();// 此方法相当于清空buffer

// 提问对象
TalkBean askBean = new TalkBean(finalResult, true, -1);
mTalkList.add(askBean);

Random random = new Random();

// 回答对象
String answer = "没听清";
int imageId = -1;
if (finalResult.contains("你好")) {
answer = "你好呀!";
} else if (finalResult.contains("你是谁")) {
answer = "我是你的小助手!";
} else if (finalResult.contains("天王盖地虎")) {
answer = "小鸡炖蘑菇";
imageId = R.drawable.m;
} else if (finalResult.contains("美女")) {
// 取随机内容和随机图片
int strId = random.nextInt(mAnswers.length);
answer = mAnswers[strId];
imageId = mAnswerPics[random
.nextInt(mAnswerPics.length)];
}

// 回答对象
TalkBean answerBean = new TalkBean(answer, false, imageId);
mTalkList.add(answerBean);
mAdapter.notifyDataSetChanged();

lvList.setSelection(mTalkList.size() - 1);

startSpeak(answer);
}
}

@Override
public void onError(SpeechError arg0) {

}
});

// 4.显示dialog,接收语音输入
mDialog.show();
}

/**
* 解析语音json

* @param resultString
* @return
*/
protected String parseData(String resultString) {
Gson gson = new Gson();
VoiceBean voiceBean = gson.fromJson(resultString, VoiceBean.class);

StringBuffer sb = new StringBuffer();
ArrayList<WSBean> ws = voiceBean.ws;
for (WSBean wsBean : ws) {
String word = wsBean.cw.get(0).w;
sb.append(word);
}

return sb.toString();
}

// 语音合成
public void startSpeak(String text) {
// 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
// 设置发音人(更多在线发音人,用户可参见 附录12.2
mTts.setParameter(SpeechConstant.VOICE_NAME, "xiaoyan"); // 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
mTts.setParameter(SpeechConstant.ENGINE_TYPE, SpeechConstant.TYPE_CLOUD); // 设置云端
// mTts.setParameter(SpeechConstant.TTS_AUDIO_PATH,
// "./sdcard/iflytek.pcm");
// 3.开始合成
mTts.startSpeaking(text, null);
}

class MyAdapter 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 = null;
if (convertView == null) {
convertView = View.inflate(getApplicationContext(),
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.ivPic = (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.isAsk) {
holder.tvAsk.setVisibility(View.VISIBLE);
holder.llAnswer.setVisibility(View.GONE);

holder.tvAsk.setText(item.text);
} else {
holder.tvAsk.setVisibility(View.GONE);
holder.llAnswer.setVisibility(View.VISIBLE);

holder.tvAnswer.setText(item.text);

if (item.imageId > 0) {// 回答内容有图片
holder.ivPic.setVisibility(View.VISIBLE);
holder.ivPic.setImageResource(item.imageId);
} else {
holder.ivPic.setVisibility(View.GONE);
}
}

return convertView;
}

}