def METHOD_NAME(self, batch: Batch):
    decoder = RNNTBeamSearch(self.model, self.blank_idx)
    hypotheses = decoder(batch.features.to(self.device), batch.feature_lengths.to(self.device), 20)
    return post_process_hypos(hypotheses, self.sp_model)[0][0]