[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Computer Speech and Language Special Issue -- Call for papers
Computer Speech and Language Special Issue – Call for Papers
Speech Separation and Recognition Challenge
Martin Cooke (University of Sheffield), m.cooke@xxxxxxxxxxxxxx
Te-Won Lee (University of California, San Diego), tewon@xxxxxxxx
A wide range of techniques exist for the separation – and subsequent
recognition – of speech from other acoustic sources. Some approaches
rely on signal processing and enhancement while others exploit
statistical independence of acoustic sources. Some make strong use of
speech knowledge to construct joint models of all sources present.
Until recently, there had been no extensive comparison of separation
algorithms. However, a special session at Interspeech 2006 in Pittsburgh
saw the results of the first Speech Separation Challenge – a large-scale
attempt to evaluate different separation/recognition algorithms on the
same task, which involved recognising simple sentences in the presence
of other, similar, sentences.
This special issue of Computer Speech and Language solicits full papers
describing systems tackling the Speech Separation Challenge, details of
which are available at
Submissions are not limited to those who took part in the special
session at Interspeech, but new entrants should contact the guest
editors to clarify any details of the Challenge. Contributions
describing both existing and novel methods for the recognition of
separated speech are welcome so long as results are reported on the
Challenge test data.
Submission deadline: June 30, 2007 (earliest submission: May 2007)
Completion of reviews: October 31, 2007
Revision deadline: January 15, 2008
Final decision: February 15, 2008
Papers should be submitted through the Elsevier electronic submission
system at http://ees.elsevier.com/csl and should follow the usual
Computer Speech and Language guidelines (see links from the above URL).
Papers should be identified as being intended for the special issue by
choosing the article type as Speech Separation.