SCHEDULE Available now. PROCEEDINGS will come on-line in Mid-August. Apologies for delay.
The increasing interest in spontaneous speech on the part of the academic and technological communities has led to several new research initiatives which focus on disfluency in normal speech. In this workshop we will bring together researchers working on the topic from various angles.
The main purposes of the meeting will be to allow an overview of recent and current research, to examine problems and issues in this research and to discuss future areas of interest. Papers are from a wide area, including description, speech production and psycholinguistic and computational approaches to the understanding of disfluent speech.
The meeting will allow as much discussion as possible, structured around a selection of themes, and supported by 12 oral presentations. The price of the meeting ($25 or $15 for students) will include proceedings and coffee.
All prospective participants should email their names and other details listed below to firstname.lastname@example.org as soon as possible.
Areas of interest:
Robin Lickley University of Edinburgh
Ellen Gurman Bard University of Edinburgh
Jean Fox Tree UCSC
Peter Heeman OGI
Liz Shriberg SRI
Local Coordination: The indispensable Madelaine Plauche' UC Berkeley
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Which speakers are most disfluent in conversation, and when?
Heather Bortfeld, Silvia Leon, Jonathan Bloom, Michael Schober, and
Uhs and interrupted words: The information available to listeners
Susan E. Brennan & Michael F. Schober
Speech Repairs: A Parsing Perspective
Mark G. Core and Lenhart K. Schubert
A Comparative Analysis of Disfluencies in Four Swedish Travel Dialogue Corpora
Between-Turn Pauses and Ums
Jean E. Fox Tree
Toward a formal characterisation of disfluency processing
Dafydd Gibbon and Shu-Chuan Tseng
Detecting and Correcting Speech Repairs in Japanese
Peter A. Heeman and K.H. Loken-Kim
Why does spontanous speech unfold in temporal cycles, sometimes?
Kim Kirsner , Ben Roberts & Yong-Heng Lee
Comparing human and automatic speech recognition using word-gating.
Lickley, McKelvie and Bard.
Better detection of hesitations in spontaneous speech
Use of a postprocessor to identify and correct speaker disfluencies
in automated speech recognition for medical transcription.
Filled Pause Distribution and Modeling in
Last updated 19 July 1999