TY  - CONF
ID  - henn97:euro
T1  - Estimation of Global Posteriors and Forward-Backward Training of Hybrid HMM/ANN Systems
A1  - Hennebert, Jean
A1  - Ris, Christophe
A1  - Bourlard, Hervé
A1  - Renals, Steve
A1  - Morgan, Nelson
TI  - European Conference on Speech Communication and Technology (EUROSPEECH 97), Rhodes, Greece
Y1  - 1997
SP  - 1951
EP  - 1954
UR  - http://diuf.unifr.ch/people/henneber/cv/download/eurosp97-remap.pdf
KW  - ANN
KW  - MLP
KW  - Speech Recognition
N2  - The results of our research presented in this paper is two-fold. First, an estimation of global posteriors is formalized in the framework of hybrid HMM/ANN systems. It is shown that hybrid HMM/ANN systems, in which the ANN part estimates local posteriors, can be used to modelize global model posteriors. This formalization provides us with a clear theory in which both REMAP and ``classical'' Viterbi trained hybrid systems are unified. Second, a new forward-backward training of hybrid HMM/ANN systems is derived from the previous formulation. Comparisons of performance between Viterbi and forward-backward hybrid systems are presented and discussed.
ER  -