/* * Copyright 1999-2002 Carnegie Mellon University. * Portions Copyright 2002 Sun Microsystems, Inc. * Portions Copyright 2002 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.linguist.acoustic; /** * Represents a hidden-markov-model. An HMM consists of a unit (context dependent or independent), a transition matrix * from state to state, and a sequence of senones associated with each state. This representation of an HMM is a * specialized left-to-right markov model. No backward transitions are allowed. */ public interface HMM { /** * Gets the unit associated with this HMM * * @return the unit associated with this HMM */ public Unit getUnit(); /** * Gets the base unit associated with this HMM * * @return the unit associated with this HMM */ public Unit getBaseUnit(); /** * @param which the state of interest * @return hmm state */ public HMMState getState(int which); /** * Returns the order of the HMM * * @return the order of the HMM */ public int getOrder(); /** * Retrieves the position of this HMM. * * @return the position for this HMM */ public HMMPosition getPosition(); /** * Gets the initial states (with probabilities) for this HMM * * @return the set of arcs that transition to the initial states for this HMM */ public HMMState getInitialState(); }