Linguistic Resources for Meeting Speech Recognition

• Published in: Machine Learning for Multimodal Interaction pp. 390 - 401
• Main Authors: Glenn, Meghan Lammie, Strassel, Stephanie
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006
• Series: Lecture Notes in Computer Science
• Subjects: Audio Signal; Broadcast News; Human Language Technology; Linguistic Resource; Segment Boundary
• ISBN: 3540325492; 9783540325499
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11677482_33

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.