避开Google Voice Search利用Google Speech API实现Android语音识别之Demo实现
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Android语音识别实现：
使用voice search简易实现需要安装google下的语音搜索软件，使用科大讯飞需要申请appkey，比较繁琐，后来发现了http://www.google.com/speech-api/v1/recognize?xjerr=1&client=chromium&maxresults=1&lang=zh-CN 这个地址后就产生了想法，于是就有了下面的东西。
一：录音的代码
private void startRecording(){ if (mRecorder == null || mRecorder.getState() != AudioRecord.STATE_INITIALIZED){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_ILLEGAL_STATE,0); mHandler.sendMessage(msg); return; } mRecorder.startRecording(); if (mRecorder.getRecordingState() == AudioRecord.RECORDSTATE_RECORDING){ textView.setText(R.string.recording); new Thread(){ @Override public void run(){ byte[] tmpBuffer = new byte[mBufferSize/2]; while (mRecorder != null && mRecorder.getRecordingState() == AudioRecord.RECORDSTATE_RECORDING){ int numOfRead = mRecorder.read(tmpBuffer,0,tmpBuffer.length); if (numOfRead < 0){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_RECORDING,0); mHandler.sendMessage(msg); break; } float sum = 0; for (int i=0; i < tmpBuffer.length; i+=2){ short t = (short)(tmpBuffer[i] | (tmpBuffer[i+1] <<8 )); sum += Math.abs(t); } float rms = sum/(tmpBuffer.length * 2); Message msg = mHandler.obtainMessage(MSG_RECORD_RECORDING,(int)rms,0); mHandler.sendMessage(msg); if (mRecordedData.length > mRecordedLength + numOfRead){ System.arraycopy(tmpBuffer,0,mRecordedData,mRecordedLength,numOfRead); mRecordedLength += numOfRead; }else { break; } } mHandler.sendEmptyMessage(MSG_RECORD_STOPPED); } }.start(); }else { Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_ILLEGAL_STATE,0); mHandler.sendMessage(msg); }}
二：因为Google的那个网址能识别的格式有限，而PCM又非常容易转化为wav格式的文件，所以下一步就是将录音的数据非常成格式。
从上面可以看到录音的数据我是存放到mRecordedData里面，而mRecordedLength是录音长度，下面是转化为wav格式的代码：
private void createWavHeaderIfNeed(boolean forceCreate){ if (!forceCreate && wavHeader != null){ return; } // sample rate * number of channel * bit per sample / bit per bytes int avgBytesPerSec = mSampleRate * mChannels * DEFAULT_PER_SAMPLE_IN_BIT / 8; wavHeader = new byte[]{ 'R','I','F','F', //id = RIFF , fixed chars 0, 0, 0, 0, // RIFF WAVE chunk size = 36 + data length 'W','A','V','E', // Type /* Format chunk */ 'f','m','t',' ', // id = 'fmt ' 16, 0, 0, 0, // format chunk size = 16, if 18, means existing extension message 1, 0, // format tag, 0x0001 = 16 pcm (byte)mChannels, 0, // number of channels (MONO = 1, STEREO =2) /* 4 bytes , sample rate */ (byte)(mSampleRate & 0xff), (byte)((mSampleRate >> 8) & 0xff), (byte)((mSampleRate >> 16) & 0xff), (byte)((mSampleRate >> 24) & 0xff), /* 4 bytes average bytes per seconds */ (byte)(avgBytesPerSec & 0xff), (byte)((avgBytesPerSec >> 8) & 0xff), (byte)((avgBytesPerSec >> 16) & 0xff), (byte)((avgBytesPerSec >> 24) & 0xff), /* 2 bytes, block align */ /****************************** * sample 1 ****************************** * channel 0 least| channel 0 most| * ******************************/ (byte)(DEFAULT_PER_SAMPLE_IN_BIT * mChannels / 8), // per sample in bytes 0, /* 2 bytes, Bits per sample */ 16, 0, /* data chunk */ 'd','a','t','a', /// Id = 'data' 0, 0, 0, 0 // data size, set 0 due to unknown yet };}private void setWavHeaderInt(int offset,int value){ if (offset < 0 || offset > 40){ //total length = 44, int length = 4, //44 - 4 = 40 throw new IllegalArgumentException("offset out of range"); } createWavHeaderIfNeed(false); wavHeader[offset++] = (byte)(value & 0xff); wavHeader[offset++] = (byte)((value >> 8) & 0xff); wavHeader[offset++] = (byte)((value >> 16) & 0xff); wavHeader[offset] = (byte)((value >> 24) & 0xff);}private byte[] getWavData(){ setWavHeaderInt(4,36+mRecordedLength); setWavHeaderInt(40,mRecordedLength); byte[] wavData = new byte[44+mRecordedLength]; System.arraycopy(wavHeader,0,wavData,0,wavHeader.length); System.arraycopy(mRecordedData,0,wavData,wavHeader.length,mRecordedLength); return wavData;}
三：通过上面的getWavData()就可以获得wav格式的录音数据了。那么接下来就是提交到前面提交的网址上去等待返回的数据了。这一步很简单就是做一个post的工作，代码如下：private HttpURLConnection getConnection(){ HttpURLConnection connection = null; try{ URL httpUrl = new URL(GOOGLE_VOICE_API_URL + mLang); connection = (HttpURLConnection)httpUrl.openConnection(); connection.setConnectTimeout(DEFAULT_CONNECT_TIMEOUT); connection.setReadTimeout(DEFAULT_READ_TIMEOUT); connection.setRequestMethod("POST"); connection.setDoInput(true); connection.setDoOutput(true); connection.setUseCaches(false); connection.setRequestProperty("User-Agent",USER_AGENT); connection.setRequestProperty("Content-Type",CONTENT_TYPE_WAV); }catch (MalformedURLException ex){ JLog.e(TAG,"getConnection();Invalid url format",ex); }catch (ProtocolException ex){ JLog.e(TAG, "getConnection();Un support protocol",ex); }catch (IOException ex){ JLog.e(TAG,"getConnection();IO error while open connection",ex); } return connection;}private void startWebRecognizer(final byte[] wavData){ textView.setText(R.string.analyzing); final HttpURLConnection connection = getConnection(); if (connection == null){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NETWORK,0); mHandler.sendMessage(msg); }else { new Thread(){ @Override public void run(){ try { DataOutputStream dos = new DataOutputStream(connection.getOutputStream()); dos.write(wavData); dos.flush(); dos.close(); InputStreamReader inputStreamReader = new InputStreamReader(connection.getInputStream(), Charset.forName("utf-8")); BufferedReader bufferedReader = new BufferedReader(inputStreamReader); StringBuilder sb = new StringBuilder(); String tmpStr = null; while ((tmpStr = bufferedReader.readLine()) != null){ sb.append(tmpStr); } Message msg = mHandler.obtainMessage(MSG_DECODE_DATA,sb.toString()); mHandler.sendMessage(msg); }catch (IOException ex){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NETWORK,0); mHandler.sendMessage(msg); } } }.start(); }}
四：OK，现在我们获得了返回的数据，那么接着就是解析返回的数据了。首先说明下google返回的数据格式，是如下的json数据：{ "status":0, /* 结果代码，0是成功，4是no speech, 5是no match */ "id":"c421dee91abe31d9b8457f2a80ebca91-1", /* 识别编号 */ "hypotheses": /* 假设，即结果 */ [ { "utterance":"下午好", /* 话语 */ "confidence":0.2507637 /* 信心，即准确度 */ } ] }
这里说明下，返回的结果条数是根据前面的maxresults=1来确定的，如果是2就会返回两条，而这些结果是按照准确度从高到低排列的，理论最高值为1.解析结果如下:private void startParseJson(String jsonString){ try{ JSONObject jsonObject = new JSONObject(jsonString); int status = jsonObject.getInt("status"); if (status == 0){ JSONArray hypotheses = jsonObject.getJSONArray("hypotheses"); if (hypotheses!= null && hypotheses.length() > 0){ JSONObject hypot = hypotheses.optJSONObject(0); String speechText = hypot.getString("utterance"); Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NONE,0,speechText); mHandler.sendMessage(msg); } }else if (status == 4){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NO_SPEECH,0); mHandler.sendMessage(msg); }else if (status == 5){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NO_MATCH,0); mHandler.sendMessage(msg); } }catch (JSONException ex){ JLog.e(TAG,"Decode JSON error",ex); Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_DECODING,0); mHandler.sendMessage(msg); }}这样我们就完成了speech to text的过程就是通常所说的语音识别。下面贴上这个activity的完整代码：package com.jecofang.catebutler.activities;import android.content.Intent;import android.graphics.drawable.AnimationDrawable;import android.media.AudioFormat;import android.media.AudioRecord;import android.media.MediaRecorder;import android.os.Bundle;import android.os.Handler;import android.os.Message;import android.view.View;import android.widget.ImageView;import android.widget.TextView;import com.jecofang.catebutler.R;import com.jecofang.catebutler.base.BaseActivity;import com.jecofang.catebutler.common.JLog;import org.json.JSONArray;import org.json.JSONException;import org.json.JSONObject;import java.io.BufferedReader;import java.io.DataOutputStream;import java.io.IOException;import java.io.InputStreamReader;import java.net.HttpURLConnection;import java.net.MalformedURLException;import java.net.ProtocolException;import java.net.URL;import java.nio.charset.Charset;/** * *************************************** * File Name : SpeechRecognitionActivity * Author : Jeco Fang * Email : jeco.fang@163.com * Create on : 13-7-19 * All rights reserved 2013 - 2013 * **************************************** */public class SpeechRecognitionActivity extends BaseActivity { private static final String TAG = "SpeechRecognitionActivity"; /* Recording params */ public static final String AUDIO_SOURCE = "AudioSource"; private static final int DEFAULT_AUDIO_SOURCE = MediaRecorder.AudioSource.VOICE_RECOGNITION; public static final String SAMPLE_RATE = "SampleRate"; private static final int DEFAULT_SAMPLE_RATE = 16000; private static final int DEFAULT_AUDIO_ENCODING = AudioFormat.ENCODING_PCM_16BIT; private static final short DEFAULT_PER_SAMPLE_IN_BYTES = 2; private static final short DEFAULT_PER_SAMPLE_IN_BIT = 16; public static final String CHANNELS = "Channels"; private static final short DEFAULT_CHANNELS = 1; //Number of channels (MONO = 1, STEREO = 2) /* Web API params */ public static final String LANGUAGE = "Language"; private static final String DEFAULT_LANGUAGE = "zh-CN"; private static final String GOOGLE_VOICE_API_URL = "http://www.google.com/speech-api/v1/recognize?xjerr=1&client=chromium&maxresults=1&lang="; private static final String USER_AGENT = "Mozilla/5.0"; private static final int DEFAULT_CONNECT_TIMEOUT = 10 * 1000; //10 sec; private static final int DEFAULT_READ_TIMEOUT = 20 * 1000; //20 sec; private static final String CONTENT_TYPE_WAV = "audio/L16;rate=16000"; /* Message Types */ private static final int MSG_PREPARE_RECORDER = 1; private static final int MSG_START_RECORDING = 2; private static final int MSG_RECORD_RECORDING = 3; private static final int MSG_STOP_RECORDING = 4; private static final int MSG_RECORD_STOPPED = 5; private static final int MSG_DECODE_DATA = 6; private static final int MSG_ERROR = 7; /* Errors */ public static final int ERR_NONE = 0; public static final int ERR_UNKNOWN = -1; public static final int ERR_UN_SUPPORT_PARAMS = -2; public static final int ERR_ILLEGAL_STATE = -3; public static final int ERR_RECORDING = -4; public static final int ERR_NETWORK = -5; public static final int ERR_NO_SPEECH = -6; public static final int ERR_NO_MATCH = -7; public static final int ERR_DECODING = -8; private int mSampleRate; private short mChannels; private int mAudioSource; private AudioRecord mRecorder; private int mBufferSize; private int mRecordedLength; private byte[] mRecordedData; private byte[] wavHeader; private enum State{ IDLE, BUSY } private String mLang; private Handler mHandler = new InternalHandler(); private State mState; private ImageView imageView; private TextView textView; public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_speech_recognition); imageView = (ImageView)findViewById(R.id.iv_speaking); textView = (TextView)findViewById(R.id.tv_result); mState = State.IDLE; } @Override public void onStart(){ super.onStart(); JLog.d("onStart"); if (mState == State.IDLE){ Intent intent = getIntent(); mAudioSource = intent.getIntExtra(AUDIO_SOURCE,DEFAULT_AUDIO_SOURCE); mSampleRate = intent.getIntExtra(SAMPLE_RATE,DEFAULT_SAMPLE_RATE); mChannels = intent.getShortExtra(CHANNELS,DEFAULT_CHANNELS); mLang = intent.getStringExtra(LANGUAGE); if (mLang == null || mLang.trim().length() == 0){ mLang = DEFAULT_LANGUAGE; } if (!isNetworkAvailable()){ Message message = mHandler.obtainMessage(MSG_ERROR,ERR_NETWORK); mHandler.sendMessage(message); }else { mHandler.sendEmptyMessageDelayed(MSG_PREPARE_RECORDER,500); } } } @Override public void onStop(){ super.onStop(); JLog.d("onStop"); } @Override public void onPause(){ super.onPause(); JLog.d("onPause"); } @Override public void onResume(){ super.onResume(); JLog.d("onResume"); } private class InternalHandler extends Handler{ private long lastTalkTime; private long startTime; AnimationDrawable animationDrawable; @Override public void handleMessage(Message msg){ switch (msg.what){ case MSG_PREPARE_RECORDER: mState = State.BUSY; JLog.d("Prepare recorder"); prepareRecorder(); break; case MSG_START_RECORDING: startTime = System.currentTimeMillis(); lastTalkTime = 0; JLog.d("Start recording"); startRecording(); textView.setText(R.string.speech); break; case MSG_RECORD_RECORDING: //After 5 seconds started recording, if there is no speech, send stop message. //In recording if no speech time exclude 3 seconds, send stop message long currentTime = System.currentTimeMillis(); int volume = msg.arg1; JLog.d(TAG,"Record recording.Volume = %d",volume ); if (lastTalkTime == 0){ if (volume >= 30){ lastTalkTime = currentTime; startAnimationIfNeed(animationDrawable); }else { stopAnimation(animationDrawable); if (currentTime - startTime >= 5 * 1000){ mHandler.sendEmptyMessage(MSG_STOP_RECORDING); } } }else { if (volume >= 30){ lastTalkTime = currentTime; startAnimationIfNeed(animationDrawable); }else { stopAnimation(animationDrawable); if (currentTime - lastTalkTime >= 3 * 1000){ mHandler.sendEmptyMessage(MSG_STOP_RECORDING); } } } break; case MSG_STOP_RECORDING: JLog.d("Stop recording"); stopAnimation(animationDrawable); stopRecording(); break; case MSG_RECORD_STOPPED: JLog.d("Recorder stopped, try to get remote data"); byte[] wavData = getWavData(); startWebRecognizer(wavData); if (mRecorder != null){ mRecorder.release(); mRecorder = null; } break; case MSG_DECODE_DATA: String data = ""; if (msg.obj != null){ data = msg.obj.toString(); } JLog.d("Try to parse data :" + data); if (data.trim().length()> 0){ startParseJson(data.trim()); }else { Message message = mHandler.obtainMessage(MSG_ERROR,ERR_UNKNOWN,0); mHandler.sendMessage(message); } break; case MSG_ERROR: mState = State.IDLE; if (mRecorder != null){ mRecorder.release(); mRecorder = null; } Intent intent = new Intent(); intent.putExtra(SPEECH_RESULT_STATUS,msg.arg1); if (msg.obj != null){ JLog.d("Error:"+msg.arg1+";value"+msg.obj); intent.putExtra(SPEECH_RESULT_VALUE,msg.obj.toString()); } JLog.d("Error:"+msg.arg1); setResult(RESULT_OK,intent); finish(); break; default: break; } } } private void prepareRecorder(){ int minBufferSize = AudioRecord.getMinBufferSize(mSampleRate, AudioFormat.CHANNEL_IN_MONO,DEFAULT_AUDIO_ENCODING); if (minBufferSize == AudioRecord.ERROR_BAD_VALUE){ JLog.e(TAG, "Params are not support by hardware.n" + "sample rate: %d; channel: %2x; encoding: %2x", mSampleRate, AudioFormat.CHANNEL_IN_MONO, DEFAULT_AUDIO_ENCODING); Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_UN_SUPPORT_PARAMS,0); mHandler.sendMessage(msg); return; }else if (minBufferSize == AudioRecord.ERROR){ JLog.w(TAG,"Unable to query hardware for output property"); minBufferSize = mSampleRate * (120 / 1000) * DEFAULT_PER_SAMPLE_IN_BYTES * mChannels; } mBufferSize = minBufferSize * 2; mRecorder = new AudioRecord(mAudioSource,mSampleRate, AudioFormat.CHANNEL_IN_MONO,DEFAULT_AUDIO_ENCODING,mBufferSize); if (mRecorder.getState() != AudioRecord.STATE_INITIALIZED){ JLog.e(TAG,"AudioRecord initialize failed"); Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_ILLEGAL_STATE,0); mHandler.sendMessage(msg); return; } mRecordedLength = 0; int maxRecordLength = mSampleRate * mChannels * DEFAULT_PER_SAMPLE_IN_BYTES * 35; mRecordedData = new byte[maxRecordLength]; Message msg = mHandler.obtainMessage(MSG_START_RECORDING); mHandler.sendMessage(msg); } private void startRecording(){ if (mRecorder == null || mRecorder.getState() != AudioRecord.STATE_INITIALIZED){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_ILLEGAL_STATE,0); mHandler.sendMessage(msg); return; } mRecorder.startRecording(); if (mRecorder.getRecordingState() == AudioRecord.RECORDSTATE_RECORDING){ textView.setText(R.string.recording); new Thread(){ @Override public void run(){ byte[] tmpBuffer = new byte[mBufferSize/2]; while (mRecorder != null && mRecorder.getRecordingState() == AudioRecord.RECORDSTATE_RECORDING){ int numOfRead = mRecorder.read(tmpBuffer,0,tmpBuffer.length); if (numOfRead < 0){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_RECORDING,0); mHandler.sendMessage(msg); break; } float sum = 0; for (int i=0; i < tmpBuffer.length; i+=2){ short t = (short)(tmpBuffer[i] | (tmpBuffer[i+1] <<8 )); sum += Math.abs(t); } float rms = sum/(tmpBuffer.length * 2); Message msg = mHandler.obtainMessage(MSG_RECORD_RECORDING,(int)rms,0); mHandler.sendMessage(msg); if (mRecordedData.length > mRecordedLength + numOfRead){ System.arraycopy(tmpBuffer,0,mRecordedData,mRecordedLength,numOfRead); mRecordedLength += numOfRead; }else { break; } } mHandler.sendEmptyMessage(MSG_RECORD_STOPPED); } }.start(); }else { Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_ILLEGAL_STATE,0); mHandler.sendMessage(msg); } } private void stopRecording(){ if (mRecorder != null && mRecorder.getRecordingState() == AudioRecord.RECORDSTATE_RECORDING){ mRecorder.stop(); } } private void createWavHeaderIfNeed(boolean forceCreate){ if (!forceCreate && wavHeader != null){ return; } // sample rate * number of channel * bit per sample / bit per bytes int avgBytesPerSec = mSampleRate * mChannels * DEFAULT_PER_SAMPLE_IN_BIT / 8; wavHeader = new byte[]{ 'R','I','F','F', //id = RIFF , fixed chars 0, 0, 0, 0, // RIFF WAVE chunk size = 36 + data length 'W','A','V','E', // Type /* Format chunk */ 'f','m','t',' ', // id = 'fmt ' 16, 0, 0, 0, // format chunk size = 16, if 18, means existing extension message 1, 0, // format tag, 0x0001 = 16 pcm (byte)mChannels, 0, // number of channels (MONO = 1, STEREO =2) /* 4 bytes , sample rate */ (byte)(mSampleRate & 0xff), (byte)((mSampleRate >> 8) & 0xff), (byte)((mSampleRate >> 16) & 0xff), (byte)((mSampleRate >> 24) & 0xff), /* 4 bytes average bytes per seconds */ (byte)(avgBytesPerSec & 0xff), (byte)((avgBytesPerSec >> 8) & 0xff), (byte)((avgBytesPerSec >> 16) & 0xff), (byte)((avgBytesPerSec >> 24) & 0xff), /* 2 bytes, block align */ /****************************** * sample 1 ****************************** * channel 0 least| channel 0 most| * ******************************/ (byte)(DEFAULT_PER_SAMPLE_IN_BIT * mChannels / 8), // per sample in bytes 0, /* 2 bytes, Bits per sample */ 16, 0, /* data chunk */ 'd','a','t','a', /// Id = 'data' 0, 0, 0, 0 // data size, set 0 due to unknown yet }; } private void setWavHeaderInt(int offset,int value){ if (offset < 0 || offset > 40){ //total length = 44, int length = 4, //44 - 4 = 40 throw new IllegalArgumentException("offset out of range"); } createWavHeaderIfNeed(false); wavHeader[offset++] = (byte)(value & 0xff); wavHeader[offset++] = (byte)((value >> 8) & 0xff); wavHeader[offset++] = (byte)((value >> 16) & 0xff); wavHeader[offset] = (byte)((value >> 24) & 0xff); } private byte[] getWavData(){ setWavHeaderInt(4,36+mRecordedLength); setWavHeaderInt(40,mRecordedLength); byte[] wavData = new byte[44+mRecordedLength]; System.arraycopy(wavHeader,0,wavData,0,wavHeader.length); System.arraycopy(mRecordedData,0,wavData,wavHeader.length,mRecordedLength); return wavData; } private HttpURLConnection getConnection(){ HttpURLConnection connection = null; try{ URL httpUrl = new URL(GOOGLE_VOICE_API_URL + mLang); connection = (HttpURLConnection)httpUrl.openConnection(); connection.setConnectTimeout(DEFAULT_CONNECT_TIMEOUT); connection.setReadTimeout(DEFAULT_READ_TIMEOUT); connection.setRequestMethod("POST"); connection.setDoInput(true); connection.setDoOutput(true); connection.setUseCaches(false); connection.setRequestProperty("User-Agent",USER_AGENT); connection.setRequestProperty("Content-Type",CONTENT_TYPE_WAV); }catch (MalformedURLException ex){ JLog.e(TAG,"getConnection();Invalid url format",ex); }catch (ProtocolException ex){ JLog.e(TAG, "getConnection();Un support protocol",ex); }catch (IOException ex){ JLog.e(TAG,"getConnection();IO error while open connection",ex); } return connection; } private void startWebRecognizer(final byte[] wavData){ textView.setText(R.string.analyzing); final HttpURLConnection connection = getConnection(); if (connection == null){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NETWORK,0); mHandler.sendMessage(msg); }else { new Thread(){ @Override public void run(){ try { DataOutputStream dos = new DataOutputStream(connection.getOutputStream()); dos.write(wavData); dos.flush(); dos.close(); InputStreamReader inputStreamReader = new InputStreamReader(connection.getInputStream(), Charset.forName("utf-8")); BufferedReader bufferedReader = new BufferedReader(inputStreamReader); StringBuilder sb = new StringBuilder(); String tmpStr = null; while ((tmpStr = bufferedReader.readLine()) != null){ sb.append(tmpStr); } Message msg = mHandler.obtainMessage(MSG_DECODE_DATA,sb.toString()); mHandler.sendMessage(msg); }catch (IOException ex){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NETWORK,0); mHandler.sendMessage(msg); } } }.start(); } } private void startParseJson(String jsonString){ try{ JSONObject jsonObject = new JSONObject(jsonString); int status = jsonObject.getInt("status"); if (status == 0){ JSONArray hypotheses = jsonObject.getJSONArray("hypotheses"); if (hypotheses!= null && hypotheses.length() > 0){ JSONObject hypot = hypotheses.optJSONObject(0); String speechText = hypot.getString("utterance"); Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NONE,0,speechText); mHandler.sendMessage(msg); } }else if (status == 4){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NO_SPEECH,0); mHandler.sendMessage(msg); }else if (status == 5){ Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_NO_MATCH,0); mHandler.sendMessage(msg); } }catch (JSONException ex){ JLog.e(TAG,"Decode JSON error",ex); Message msg = mHandler.obtainMessage(MSG_ERROR,ERR_DECODING,0); mHandler.sendMessage(msg); } } private void startAnimationIfNeed(AnimationDrawable animationDrawable){ imageView.setVisibility(View.VISIBLE); if (animationDrawable == null){ imageView.setBackgroundResource(R.anim.speak_view); animationDrawable = (AnimationDrawable)imageView.getBackground(); } if (animationDrawable != null && !animationDrawable.isRunning()){ animationDrawable.start(); } } private void stopAnimation(AnimationDrawable animationDrawable){ imageView.setVisibility(View.INVISIBLE); }}
必须说一句的就是里面的JLog.x是自己简单封装了下Log的类，主要是统一控制log level。BaseActivity是activity的一些常用方法的封装以及自定义的一些常量，这里用的只有几个常量：protected static final int GET_SPEECH_RESULT = 1;protected static final String SPEECH_RESULT_STATUS = "speechResultStatus";protected static final String SPEECH_RESULT_VALUE = "speechResultValue";layout文件代码：<?xml version="1.0" encoding="utf-8"?><RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android" android:layout_width="fill_parent" android:layout_height="fill_parent" android:background="#90000000"> <RelativeLayout android:layout_width="fill_parent" android:layout_height="wrap_content" android:layout_centerInParent="true"> <LinearLayout android:layout_width="240dp" android:layout_height="wrap_content" android:orientation="vertical" android:layout_centerHorizontal="true"> </LinearLayout> </RelativeLayout> <RelativeLayout android:id="@+id/image_layout" android:layout_height="230dp" android:layout_width="230dp" android:layout_centerInParent="true"> <ImageView android:id="@+id/iv_speaking" android:layout_height="wrap_content" android:layout_width="wrap_content" android:layout_centerInParent="true"> </ImageView> <ImageView android:layout_height="wrap_content" android:layout_width="wrap_content" android:layout_centerInParent="true" android:background="@drawable/ic_speech"> </ImageView> <TextView android:id="@+id/tv_result" android:layout_height="wrap_content" android:layout_width="wrap_content" android:textColor="#FFFFFFFF" android:textSize="14sp" android:singleLine="true" android:ellipsize="marquee" android:marqueeRepeatLimit="marquee_forever" android:layout_marginTop="40dip" android:layout_centerInParent="true"> </TextView> </RelativeLayout></RelativeLayout>整个layout的背景是设置的#90000000,就是黑色的半透明。
speak animation的代码：
<?xml version="1.0" encoding="utf-8"?><animation-list android:oneshot="false" xmlns:android="http://schemas.android.com/apk/res/android"> <item android:duration="150" android:drawable="@drawable/mic_1" /> <item android:duration="150" android:drawable="@drawable/mic_2" /> <item android:duration="150" android:drawable="@drawable/mic_3" /> <item android:duration="150" android:drawable="@drawable/mic_4" /></animation-list>其实就是几张半透明的从小到大的圆圈。
至于调用就很简单了：
ib_Speak = (ImageButton)findViewById(R.id.main_bottom_bar_ib_speak); ib_Speak.setOnClickListener(new View.OnClickListener() { @Override public void onClick(View view) { Intent intent = new Intent(MainActivity.this,SpeechRecognitionActivity.class); startActivityForResult(intent, GET_SPEECH_RESULT); //Intent intent = new Intent(MainActivity.this,Record.class); //startActivity(intent); } });
获取结果：
@Overrideprotected void onActivityResult(int requestCode, int resultCode, Intent data){ if (requestCode == GET_SPEECH_RESULT){ if (resultCode == RESULT_CANCELED){ //do nothing for now }else if (resultCode == RESULT_OK){ JLog.i("status;"+ data.getIntExtra(SPEECH_RESULT_STATUS,0)); switch (data.getIntExtra(SPEECH_RESULT_STATUS,0)){ case SpeechRecognitionActivity.ERR_NONE: String text = data.getStringExtra(SPEECH_RESULT_VALUE); if (text != null && text.trim().length() > 0){ submitText(text); } break; default: Toast.makeText(this,R.string.error,Toast.LENGTH_SHORT).show(); break; } } }} 0 0
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