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[hts-users:03421] Call for Papers: Special Issue on Statistical Parametric Speech Synthesis

                           CALL FOR PAPERS

         IEEE Journal of Selected Topics in Signal Processing

       Special Issue on Statistical Parametric Speech Synthesis

Statistical parametric speech synthesizers have recently shown their
ability to produce natural-sounding and flexible voices.  It only
needs a small training database that can be easily prepared, and the
system can be easily adapted to a new voice. Although the statistical
parametric speech synthesizer has been certainly successful, there is
still a lot of challenge for that.  For instance, a) how to build a
statistical parametric speech synthesizer that can generate emotional
or expressive speech, and how to use it in natural dialog
applications; b) is it possible to combine physical speech production
models for statistical parametric speech synthesis to improve the
speech quality; c) how to build high quality statistical parametric
speech synthesizers by only using a very small training database; d)
how to build parametric synthesizers or speaker adaptation models for
cross-language or multi-language.  The purpose of this special issue
is to present recent advances on statistical parametric speech
synthesis, and try to find the better solution to improve the
naturalness and expressivity of the synthesis results and new areas to
extend the features/applications of statistical parametric speech
synthesis.  Contributed papers are invited on, but are not limited to,
the following topics:

- Methods for expressive statistical parametric speech synthesis
- Crosslingual/multilingual techniques for statistical parametric
  speech synthesis
- New speech generation/excitation models for statistical parametric
- Combination with physical speech production models for statistical
  parametric speech synthesis
- Statistical parametric speech synthesis for low-resource languages
- New character adaptation method for statistical parametric speech
- New applications for statistical parametric speech synthesis,
  especially in games, education or medical applications

Prospective authors should visit
for information on paper submission.  Manuscripts should be submitted
using the Manuscript Central system at
http://mc.manuscriptcentral.com/jstsp-ieee.  Manuscripts will be peer
reviewed according to the standard IEEE process.

Proposed Schedule:
Submission deadline: March 10, 2013
First review completed: June 10, 2013
Revised manuscript due: July 10, 2013
Second review completed: Sept 10, 2013
Final manuscript due: Oct 1, 2013

Guest Editors:
Jianhua Tao jhtao@xxxxxxxxxxxxx (Chinese Academy of Sciences, China)
Keikichi Hirose hirose@xxxxxxxxxxxxxxxxxxxx (University of Tokyo, Japan)
Keiichi Tokuda tokuda@xxxxxxxxxxxx (Nagoya Institute of Technology, Japan)
Alan W. Black awb@xxxxxxxxxx (Carnegie Mellon University, US)
Simon King Simon.King@xxxxxxxx (The University of Edinburgh, UK)

Attachment: CFP-Special_Issue_on_Statistical_Parametric_Speech_Synthesis.pdf
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