1 Confusion network based methods align the various input hypotheses against one another to form the confusion network, and then generate the most likely path through this network to produce a combined 1-best (Bangalore et al., 2001).
as mentioned previously, we already have state-ofthe-art confusion network system in place, which is based on (Rosti et al., 2007;Rosti et al., 2009).