To bridge the quality gap between a streaming recurrent neural network transducer (RNN-T) [6] and a large conventional model [8] , a two-pass framework has been proposed in<cite> [10]</cite> , which uses a non-streaming LAS decoder to rescore the RNN-T hypotheses.