The CHIL RT07 Evaluation Data

  • Susanne Burger
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4625)

Abstract

This paper describes the CHIL 2007 evaluation data set provided for the Rich Transcription 2007 Meeting Recognition Evaluation (RT07) in terms of recording setup, scenario, speaker demagogic and transcription process. The corpus consists of 25 interactive seminars recorded at five different recording sites in Europe and the United States in multi-sensory smart rooms. We compare speakers’ talk-time ratios in the interactive seminars with lecture data and multi-party meeting data. We show that the length of individual speaker’s contributions helps to position interactive seminars between lectures and meetings in terms of speaker interactivity. We also study the differences between the manual transcription of narrow-field and far-field audio recording.

Keywords

multi-modal data collection transcription meetings interactive seminars 

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References

  1. 1.
    The CHIL Consortium Website: http://chil.server.de
  2. 2.
  3. 3.
    The CLEAR Evaluation Website: http://www.clear-evaluation.org
  4. 4.
    Mostefa, D., Potamianos, G., Chu, S.M., Tyagi, A., Casas, J., Turmo, J., Cristoforetti, L., Tobia, F., Pnevmatikakis, A., Mylonakis, V., Talantzis, F., Burger, S., Stiefelhagen, R., Bernardin, K., Rochet, C.: The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Journal for Language Resources and Evaluation, Springer, Netherlands (accepted, 2007)Google Scholar
  5. 5.
  6. 6.
    Nadia Mana, N., Burger, S., Cattoni, R., Besacier, L.: The Nespole! VoIP Corpora In Tourism And Medical Domains. In: Proc. Eurospeech 2003, Geneva, Switzerland (2003)Google Scholar
  7. 7.
    Burger, S., Maclaren, V., Yu, H.: The ISL Meeting Corpus: The Impact of Meeting Type on Speech Style. In: Proc. ICSLP, Denver, CO, USA (2002)Google Scholar
  8. 8.
    Burger, S., Sloane, Z.: The ISL Meeting Corpus: Categorical Features of Communicative Group Interactions. In: NIST Meeting Recognition Workshop 2004, NIST 2004, Montreal, Canada (2004)Google Scholar
  9. 9.
    Shirberg, E., Stolcke, A., Baron, D.: Observations on Overlap: Findings and implications for automatic processing of multi-party conversation. In: Proc. Eurospeech, Aarlborg, Denmark (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Susanne Burger
    • 1
  1. 1.interACTCarnegie Mellon UniversityPittsburghUSA

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