Abstract
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.
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References
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© 2006 Springer-Verlag Berlin Heidelberg
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Glenn, M.L., Strassel, S. (2006). Linguistic Resources for Meeting Speech Recognition. In: Renals, S., Bengio, S. (eds) Machine Learning for Multimodal Interaction. MLMI 2005. Lecture Notes in Computer Science, vol 3869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11677482_33
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DOI: https://doi.org/10.1007/11677482_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32549-9
Online ISBN: 978-3-540-32550-5
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