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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.
Method Summary | |
Unit |
getBaseUnit()
Gets the base unit associated with this HMM |
HMMState |
getInitialState()
Gets the initial states (with probabilities) for this HMM |
int |
getOrder()
Returns the order of the HMM |
HMMPosition |
getPosition()
Retrieves the position of this HMM. |
HMMState |
getState(int which)
Retrieves the hmm state |
Unit |
getUnit()
Gets the unit associated with this HMM |
Method Detail |
public Unit getUnit()
public Unit getBaseUnit()
public HMMState getState(int which)
which
- the state of interestpublic int getOrder()
public HMMPosition getPosition()
public HMMState getInitialState()
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