This paper presents the recent development of ANTS, the Automatic News Transcription System of LORIA. This system was designed in the framework of ESTER, the French broadcast radio news transcription task evaluation. After describing its different components and some segmentation and recognition results on the ESTER database, we present a number of experiments focusing on the real-time version of ANTS. We evaluate the system with different number of Gaussians, sizes of vocabulary and decoder settings. The non real time version of ANTS yields an overall error rate of 36 % that can be compared to 44.5 % for the real time version.