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Special Issue on Recent
Advances in Asian Language Spoken Document Retrieval (http://chinese.csie.ncku.edu.tw/CallForPaper/)
With the rapid expansion of audio media
sources such as radio, TV, lectures, and telephony recordings, there is an
increasing demand for automatic indexing and retrieval of spoken
documents. Spoken Document
Retrieval (SDR) is essentially the task of retrieving excerpts from a large
collection of spoken documents based on a user’s request. Over the past
several years, SDR has emerged as an interdisciplinary field combining
automatic speech recognition, natural language processing, and information
retrieval. SDR has benefited from advances in speech and language processing
as well as from the availability of large spoken databases. With its focus on
fundamental research in natural spoken language processing, SDR is key to
applications such as voice search, voice surveillance, voice data mining and
call center automation. We invite papers on recent advances in Asian
language SDR research. Submissions must not have been previously published,
with the exception that substantial extensions of conference papers will be
considered. Of particular interest are studies that directly address problems
in Asian spoken languages, but new and general methods in SDR tested on Asian
languages are also welcome. Topics of interest include:
• Speech
recognition and adaptation algorithms
• Natural
language processing for SDR
• Topic
detection and tracking, routing
• Clustering
and classification
• Indexing
and retrieval
• Summarization
and information extraction
• Understanding,
organization and visualization
• Cross-language
and multilingual SDR
• Query-by-example
SDR
• Spoken
dialogue systems for accessing spoken archives
• Spoken
document corpora
• Performance,
compression, scalability, architectures, efficiency
• Voice
data mining and machine learning for SDR
• SDR
in creative applications SUBMISSION PROCEDURE: Papers
should be formatted following the style guidelines for the ACM Transactions
on Asian Language Information Processing (http://www.acm.org/pubs/talip/authors.html#STYLE_GUIDELINES
). Please
submit papers in PDF format using the Web-based Submission System Manuscript
Central (http://mc.manuscriptcentral.com/talip
). In order to identify the submission is for the special issue, please
indicate "This paper is submitted to the Special
Issue on Asian Language SDR" on the Cover
Page of the paper. Schedule:
Guest Editors:
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