我终于成功使用Sphinx4编译xml配置文件来创建我的程序。
我的问题是，当我执行它时，执行时会在我说话时在识别器.recognize（）方法上被阻止，并且什么都没发生。
我认为我的问题来自我的配置文件，但我不知道在哪里。
我测试了我的麦克风，它工作正常。
这是我的java代码：
import edu.cmu.sphinx.frontend.util.Microphone;
import edu.cmu.sphinx.recognizer.Recognizer;
import edu.cmu.sphinx.result.Result;
import edu.cmu.sphinx.util.props.ConfigurationManager;
public class Main {
private ConfigurationManager configManager;
private static Recognizer recognizer;
private boolean debug = true;
private static Microphone microphone;
public Main()
{
/* Sphinx Using Configuration*/
configManager = new ConfigurationManager("conf\\conf.xml");
recognizer = (Recognizer) configManager.lookup("recognizer");
recognizer.allocate();
microphone = (Microphone) configManager.lookup("microphone");
if (!microphone.startRecording()) {
System.out.println("Cannot start microphone.");
recognizer.deallocate();
System.exit(1);
}
/*end using configuration*/
}
public static void main(String[] args) throws IOException {
Main m = new Main();
Result result;
String hypothesis = "";
/*Iterator iterator = null;
Collection<String> hypothesisList;*/
try{
System.out.println("starting live recognition");
System.out.println("microphone.isRecording(): "+microphone.isRecording());
System.out.println("recognizer.getState(): "+recognizer.getState());
while (true) {
result = recognizer.recognize(); //here the execution stay blocked
if (result != null) {
hypothesis = result.getBestFinalResultNoFiller();
System.out.println(hypothesis);
}
System.out.println();
}
}finally{
if(m.isTalkToLRS())
{
m.closeConnexion();
}
}
}
}
我的配置文件：
<?xml version="1.0" encoding="UTF-8"?>
<config>
<component name="trivialPruner" type="edu.cmu.sphinx.decoder.pruner.SimplePruner"/>
<component name="threadedScorer" type="edu.cmu.sphinx.decoder.scorer.ThreadedAcousticScorer">
<property name="frontend" value="frontEnd"/>
</component>
<!-- ******************************************************** -->
<!-- The Grammar configuration -->
<!-- ******************************************************** -->
<component name="logMath" type="edu.cmu.sphinx.util.LogMath">
<property name="logBase" value="1.0001"/>
<property name="useAddTable" value="true"/>
</component>
<component name="jsgfGrammar" type="edu.cmu.sphinx.jsgf.JSGFGrammar">
<property name="dictionary" value="dictionary"/>
<property name="grammarLocation" value="models/grammar"/>
<property name="grammarName" value="simpleGrammar"/>
<property name="logMath" value="logMath"/>
</component>
<!-- ******************************************************** -->
<!-- The unit manager configuration -->
<!-- ******************************************************** -->
<component name="unitManager" type="edu.cmu.sphinx.linguist.acoustic.UnitManager"/>
<!-- ******************************************************** -->
<!-- The frontend pipelines -->
<!-- ******************************************************** -->
<component name="dataBlocker" type="edu.cmu.sphinx.frontend.DataBlocker">
<!--<property name="blockSizeMs" value="10"/>-->
</component>
<component name="speechClassifier"
type="edu.cmu.sphinx.frontend.endpoint.SpeechClassifier">
<property name="threshold" value="13"/>
</component>
<component name="nonSpeechDataFilter"
type="edu.cmu.sphinx.frontend.endpoint.NonSpeechDataFilter"/>
<component name="speechMarker"
type="edu.cmu.sphinx.frontend.endpoint.SpeechMarker" >
<property name="speechTrailer" value="50"/>
</component>
<component name="preemphasizer"
type="edu.cmu.sphinx.frontend.filter.Preemphasizer"/>
<component name="windower"
type="edu.cmu.sphinx.frontend.window.RaisedCosineWindower">
</component>
<component name="fft"
type="edu.cmu.sphinx.frontend.transform.DiscreteFourierTransform">
</component>
<component name="melFilterBank"
type="edu.cmu.sphinx.frontend.frequencywarp.MelFrequencyFilterBank">
</component>
<component name="dct"
type="edu.cmu.sphinx.frontend.transform.DiscreteCosineTransform"/>
<component name="liveCMN"
type="edu.cmu.sphinx.frontend.feature.LiveCMN"/>
<component name="featureExtraction"
type="edu.cmu.sphinx.frontend.feature.DeltasFeatureExtractor"/>
<component name="microphone"
type="edu.cmu.sphinx.frontend.util.Microphone">
<property name="bytesPerRead" value="320"/>
<property name="closeBetweenUtterances" value="false"/>
</component>
<!-- ******************************************************** -->
<!-- The frontend configuration -->
<!-- ******************************************************** -->
<component name="frontEnd" type="edu.cmu.sphinx.frontend.FrontEnd">
<propertylist name="pipeline">
<item>microphone </item>
<item>preemphasizer </item>
<item>windower </item>
<item>fft </item>
<item>melFilterBank </item>
<item>dct </item>
<item>liveCMN </item>
<item>featureExtraction </item>
</propertylist>
</component>
<!-- ******************************************************** -->
<!-- The Dictionary configuration -->
<!-- ******************************************************** -->
<component name="dictionary" type="edu.cmu.sphinx.linguist.dictionary.FastDictionary">
<property name="dictionaryPath" value="models/DictionnaireMyRoom.dic"/>
<property name="fillerPath" value="models/lium_french_f2/noisedict"/>
<property name="addSilEndingPronunciation" value="false"/>
<property name="wordReplacement" value="<sil>"/>
<property name="unitManager" value="unitManager"/>
</component>
<!-- ******************************************************** -->
<!-- Reconizer -->
<!-- ******************************************************** -->
<component name="recognizer" type="edu.cmu.sphinx.recognizer.Recognizer">
<property name="decoder" value="decoder" />
</component>
<component name="decoder" type="edu.cmu.sphinx.decoder.Decoder">
<property name="searchManager" value="searchManager"/>
</component>
<component name="searchManager"
type="edu.cmu.sphinx.decoder.search.SimpleBreadthFirstSearchManager">
<property name="logMath" value="logMath"/>
<property name="linguist" value="flatLinguist"/>
<property name="pruner" value="trivialPruner"/>
<property name="scorer" value="threadedScorer"/>
<property name="activeListFactory" value="activeList"/>
</component>
<component name="activeList" type="edu.cmu.sphinx.decoder.search.PartitionActiveListFactory">
<property name="logMath" value="logMath"/>
<property name="absoluteBeamWidth" value="-1"/>
<property name="relativeBeamWidth" value="1E-80"/>
</component>
<component name="flatLinguist" type="edu.cmu.sphinx.linguist.flat.FlatLinguist">
<property name="addOutOfGrammarBranch" value="true"/>
<property name="outOfGrammarProbability" value="1E-20"/>
<property name="phoneInsertionProbability" value="1E-10"/>
<property name="acousticModel" value="acousticModel"/>
<property name="grammar" value="jsgfGrammar"/>
<property name="unitManager" value="unitManager"/>
<property name="phoneLoopAcousticModel" value="acousticModel"/>
</component>
<!-- ******************************************************** -->
<!-- The acoustic model configuration -->
<!-- ******************************************************** -->
<component name="wsj" type="edu.cmu.sphinx.linguist.acoustic.tiedstate.Sphinx3Loader">
<property name="logMath" value="logMath"/>
<property name="unitManager" value="unitManager"/>
<property name="dataLocation" value="french/model_parameters/french_f0.cd_cont_5725_22/"/>
<property name="modelDefinition" value="french/model_architecture/french_f0.5725.mdef"/>
<property name="location" value="models"/>
</component>
<component name="acousticModel" type="edu.cmu.sphinx.linguist.acoustic.tiedstate.TiedStateAcousticModel">
<property name="loader" value="wsj"/>
<property name="unitManager" value="unitManager"/>
</component>
</config>
我的语法
#JSGF V1.0;
grammar grammaire;
public <command> = (bonjour | merci) ;
我的词典
bonjour bb on jj ou rr
merci mm ai rr ss ii
我的输出
starting live recognition
microphone.isRecording(): true
recognizer.getState(): READY
非常感谢你的帮助。
编辑：为了获得法语认可，我使用以下链接创建了我的配置文件：http://code.google.com/p/voicecmdr/wiki/VoiceRecognitionFR（法语抱歉）