simpleactivelistfactory.java
来自「It is the Speech recognition software. 」· Java 代码 · 共 248 行
JAVA
248 行
/* * * Copyright 1999-2004 Carnegie Mellon University. * Portions Copyright 2004 Sun Microsystems, Inc. * Portions Copyright 2004 Mitsubishi Electric Research Laboratories. * All Rights Reserved. Use is subject to license terms. * * See the file "license.terms" for information on usage and * redistribution of this file, and for a DISCLAIMER OF ALL * WARRANTIES. * */package edu.cmu.sphinx.decoder.search;import java.util.Collections;import java.util.Iterator;import java.util.LinkedList;import java.util.List;import edu.cmu.sphinx.util.LogMath;import edu.cmu.sphinx.util.props.PropertyException;import edu.cmu.sphinx.util.props.PropertySheet;import edu.cmu.sphinx.util.props.PropertyType;import edu.cmu.sphinx.util.props.Registry;/** * A factory for simple active lists */public class SimpleActiveListFactory implements ActiveListFactory { /** * Sphinx property that defines the name of the logmath to be used by this * search manager. */ public final static String PROP_LOG_MATH = "logMath"; private String name; private int absoluteBeamWidth = 2000; private float logRelativeBeamWidth; private LogMath logMath; /* * (non-Javadoc) * * @see edu.cmu.sphinx.util.props.Configurable#register(java.lang.String, * edu.cmu.sphinx.util.props.Registry) */ public void register(String name, Registry registry) throws PropertyException { this.name = name; registry.register(PROP_ABSOLUTE_BEAM_WIDTH, PropertyType.INT); registry.register(PROP_RELATIVE_BEAM_WIDTH, PropertyType.DOUBLE); registry.register(PROP_LOG_MATH, PropertyType.COMPONENT); } /* * (non-Javadoc) * * @see edu.cmu.sphinx.util.props.Configurable#newProperties(edu.cmu.sphinx.util.props.PropertySheet) */ public void newProperties(PropertySheet ps) throws PropertyException { absoluteBeamWidth = ps.getInt(PROP_ABSOLUTE_BEAM_WIDTH, PROP_ABSOLUTE_BEAM_WIDTH_DEFAULT); double relativeBeamWidth = ps.getDouble(PROP_RELATIVE_BEAM_WIDTH, PROP_RELATIVE_BEAM_WIDTH_DEFAULT); logMath = (LogMath) ps.getComponent(PROP_LOG_MATH, LogMath.class); logRelativeBeamWidth = logMath.linearToLog(relativeBeamWidth); } /* * (non-Javadoc) * * @see edu.cmu.sphinx.util.props.Configurable#getName() */ public String getName() { return name; } /* * (non-Javadoc) * * @see edu.cmu.sphinx.decoder.search.ActiveListFactory#newInstance() */ public ActiveList newInstance() { return new SimpleActiveList(absoluteBeamWidth, logRelativeBeamWidth); } /** * An active list that tries to be simple and correct. This type of active * list will be slow, but should exhibit correct behavior. Faster versions * of the ActiveList exist (HeapActiveList, TreeActiveList). * * This class is not thread safe and should only be used by a single * thread. * * Note that all scores are maintained in the LogMath log domain */ class SimpleActiveList implements ActiveList { private int absoluteBeamWidth = 2000; private float logRelativeBeamWidth; private Token bestToken; private List tokenList = new LinkedList(); /** * Creates an empty active list * * @param absoluteBeamWidth * the absolute beam width * @param logRelativeBeamWidth * the relative beam width (in the log domain) */ public SimpleActiveList(int absoluteBeamWidth, float logRelativeBeamWidth) { this.absoluteBeamWidth = absoluteBeamWidth; this.logRelativeBeamWidth = logRelativeBeamWidth; } /** * Adds the given token to the list * * @param token * the token to add */ public void add(Token token) { tokenList.add(token); if (bestToken == null || token.getScore() > bestToken.getScore()) { bestToken = token; } } /** * Replaces an old token with a new token * * @param oldToken * the token to replace (or null in which case, replace * works like add). * * @param newToken * the new token to be placed in the list. * */ public void replace(Token oldToken, Token newToken) { add(newToken); if (oldToken != null) { if (!tokenList.remove(oldToken)) { // Some optional debugging code here to dump out the paths // when this "should never happen" error happens if (false) { System.out.println("SimpleActiveList: remove " + oldToken + " missing, but replaced by " + newToken); oldToken.dumpTokenPath(true); newToken.dumpTokenPath(true); } } } } /** * Purges excess members. Remove all nodes that fall below the * relativeBeamWidth * * @return a (possible new) active list */ public ActiveList purge() { if (absoluteBeamWidth > 0 && tokenList.size() > absoluteBeamWidth) { Collections.sort(tokenList, Token.COMPARATOR); tokenList = tokenList.subList(0, absoluteBeamWidth); } return this; } /** * Retrieves the iterator for this tree. * * @return the iterator for this token list */ public Iterator iterator() { return tokenList.iterator(); } /** * Gets the set of all tokens * * @return the set of tokens */ public List getTokens() { return tokenList; } /** * Returns the number of tokens on this active list * * @return the size of the active list */ public final int size() { return tokenList.size(); } /** * gets the beam threshold best upon the best scoring token * * @return the beam threshold */ public float getBeamThreshold() { return getBestScore() + logRelativeBeamWidth; } /** * gets the best score in the list * * @return the best score */ public float getBestScore() { float bestScore = -Float.MAX_VALUE; if (bestToken != null) { bestScore = bestToken.getScore(); } return bestScore; } /** * Sets the best scoring token for this active list * * @param token * the best scoring token */ public void setBestToken(Token token) { bestToken = token; } /** * Gets the best scoring token for this active list * * @return the best scoring token */ public Token getBestToken() { return bestToken; } /* (non-Javadoc) * @see edu.cmu.sphinx.decoder.search.ActiveList#createNew() */ public ActiveList newInstance() { return SimpleActiveListFactory.this.newInstance(); } }}
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