The Isl Rt-04s Meeting Transcription System

نویسندگان

  • Florian Metze
  • Christian Fügen
  • Yue Pan
  • Tanja Schultz
  • Hua Yu
چکیده

This paper describes the speech recognition (STT) part of the Interactive Systems Lab’s 2004 Meeting transcription system, for the IPM (Individual Personal Microphone), SDM (Single Distant Microphone), and MDM (Multiple Distant Microphone) conditions; which was evaluated in NIST’s RT-04S “Meeting” evaluation. We compare the performance of our Broadcast News and the most recent Switchboard system on the Meeting data and compare both with the newly-trained meeting recognizer. Furthermore, we investigate the effects of automatic segmentation on adaptation. Our best (post-evaluation) Meeting system achieves a WER of 44.5% on the “MDM” condition.

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تاریخ انتشار 2004