Removing redundancy from lattices

In this work we present a novel word lattice filtering algorithm which removes redundancy from lattices. We use the filtering algorithm to analyze lattices obtained from dynamic network and transducer-based LVCSR decoders from several sites regarding size, coverage, and redundancy. We show that our filtering algorithm reduces the size of lattices by 30 to 90% without degrading the oracle word error rate.