In this paper, we describe our recent significant progress in automatic transcription of broadcast news programming from radio and television, compared to that described in [1] at EuroSpeech97. Overall, we achieve a 42% relative word error rate reduction during the latest DARPA November 1998 Hub-4 Evaluation, in contrast to the 1996 evaluation result reported in [1]. This significant progress was attributed to effort in improvements of segmentation, spontaneous speech modeling, careful processing of acoustic training data, bandwidth-specific acoustic models, as well as other improvements in the basic acoustic modeling field.