LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

Conference Papers

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Title Transcribing with Annotation Graphs

Authors Geoffrois Edouard (DGA/CTA/GIP, 16 bis av. Prieur de la Cote d’Or, 94114 Arcueil cedex, France, Edouard.Geoffrois@etca.fr)
Barras Claude (Spoken Language Processing Group, LIMSI-CNRS, BP 133, 3615 Market Street, Suite 200, 91403 Orsay cedex, France, Claude.Barras@limsi.fr)
Bird Steven (LDC, 3615 Market Street, Suite 200, Philadelphia, PA, 19104-2608, USA, sb@unagi.cis.upenn.edu)
Wu Zhibiao (LDC, 3615 Market Street, Suite 200, Philadelphia, PA, 19104-2608, USA, wzb@unagi.cis.upenn.edu)

Keywords Annotation Graphs, Speech Transcription Tool

Session Session SP4 - Tools for Evaluation and Processing of Spoken Language Resources

Abstract Transcriber is a tool for manual annotation of large speech files. It was originally designed for the broadcast news transcription task. The annotation file format was derived from previous formats used for this task, and many related features were hard-coded. In this paper we present a generalization of the tool based on the annotation graph formalism, and on a more modular design. This will allow us to address new tasks, while retaining Transcriber’s simple, crisp user-interface which is critical for user acceptance.

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Title	Transcribing with Annotation Graphs
Authors	Geoffrois Edouard (DGA/CTA/GIP, 16 bis av. Prieur de la Cote d’Or, 94114 Arcueil cedex, France, Edouard.Geoffrois@etca.fr) Barras Claude (Spoken Language Processing Group, LIMSI-CNRS, BP 133, 3615 Market Street, Suite 200, 91403 Orsay cedex, France, Claude.Barras@limsi.fr) Bird Steven (LDC, 3615 Market Street, Suite 200, Philadelphia, PA, 19104-2608, USA, sb@unagi.cis.upenn.edu) Wu Zhibiao (LDC, 3615 Market Street, Suite 200, Philadelphia, PA, 19104-2608, USA, wzb@unagi.cis.upenn.edu)
Keywords	Annotation Graphs, Speech Transcription Tool
Session	Session SP4 - Tools for Evaluation and Processing of Spoken Language Resources
Abstract	Transcriber is a tool for manual annotation of large speech files. It was originally designed for the broadcast news transcription task. The annotation file format was derived from previous formats used for this task, and many related features were hard-coded. In this paper we present a generalization of the tool based on the annotation graph formalism, and on a more modular design. This will allow us to address new tasks, while retaining Transcriber’s simple, crisp user-interface which is critical for user acceptance.