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Forward-Backward training

From the second equation, a forward-backward algorithm for hybrid HMM/ANN can be derived as an application of the generalized EM algorithm where the E-step is the re-estimation of the ANN targets using forward-backward recurrences and the M-step is the ANN training (see [32] for details about the $\alpha$ and $\beta$ recurrences).


  \begin{figure}
\epsfxsize=83mm
\centerline{\epsffile{remap-algo.eps}}\end{figure}



Christophe Ris
1998-11-10