Linguistic Resources for Meeting Speech Recognition

  • Meghan Lammie Glenn
  • Stephanie Strassel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3869)


This paper describes efforts by the University of Pennsylvania’s Linguistic Data Consortium to create and distribute shared linguistic resources – including data, annotations, tools and infrastructure – to support the Rich Transcription 2005 Spring Meeting Recognition Evaluation. In addition to distributing large volumes of training data, LDC produced reference transcripts for the RT-05S conference room evaluation corpus, which represents a variety of subjects, scenarios and recording conditions. Careful verbatim reference transcripts including rich markup were created for all two hours of data. One hour was also selected for a contrastive study using a quick transcription methodology. We review the two methodologies and discuss qualitative differences in the resulting transcripts. Finally, we describe infrastructure development including transcription tools to support our efforts.


Audio Signal Segment Boundary Broadcast News Linguistic Resource Human Language Technology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Meghan Lammie Glenn
    • 1
  • Stephanie Strassel
    • 1
  1. 1.Linguistic Data ConsortiumUniversity of PennsylvaniaPhiladelphiaUSA

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