CfP: Special Issue on Statistical and Perceptual Audio Processing

[Dan Ellis <dpwe@xxxxxxxxxxxxxxx>]

Dear List -

As a last-minute reminder, the Jan 31 deadline is fast approaching for
the special issue of the IEEE Transactions on Speech and Audio Processing
special issue we are editing on the topic of Statistical and
Perceptual Audio Processing (following on from the workshop we held at
ICSLP in Korea last year).

Please see the attached announcement, and please do submit your work
that considers auditory/perceptual processing problems by
incorporating a statistical approach.  It would be great to have as
wide a range of perspectives represented as possible!

If you have any questions about the special issue, feel free to
contact me (or any of my co-editors).

Thanks, and happy new year,

  DAn.

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                           Call for Papers
           IEEE Transactions on Speech and Audio Processing

     Special Issue on Statistical and Perceptual Audio Processing

Current trends in audio analysis are strongly founded in statistical
principles, or on approaches that are influenced by empirically
derived, or perceptually motivated rules of auditory perception. These
approaches are orthogonal and new ideas that draw upon from both
perceptual and statistical principles are likely to result in superior
performance.  However, how these two approaches relate to each other
has not been thoroughly explored.

In this special issue we invite researchers to submit papers on
original and previously unpublished work on both approaches, and
especially on hybrid techniques that combine perceptual and
statistical principles, as applied to speech, music and audio
analysis. Papers describing relevant research and new concepts are
solicited on, but not limited to, the following topics:
 * Generalized audio analysis   * Computational Auditory Scene Analysis (CASA)
 * Speech analysis              * Perceptual aspects of statistical algorithms,
 * Music analysis                 such as independent component analysis and
 * Audio classification           non-negative matrix factorization
 * Speech recognition           * Hybrid methods that use CASA-like cues in a
 * Signal separation              statistical framework, e.g. for separation
 * Multi-channel analysis         or recognition.
 * Theoretical and empirical results on the unification of statistical
   and perceptually based approaches.

SUBMISSION PROCEDURE

Prospective authors should prepare manuscripts according to the
Information for Authors as published in any recent issue of the
Transactions and as available on the web at
http://www.ieee.org/organizations/society/sp/infotsa.html. Note that
all rules will apply with regard to submission lengths, mandatory
overlength page charges, and color charges.

Manuscripts should be submitted electronically through the online IEEE
manuscript submission system at http://sps-ieee.manuscriptcentral.com/.
When selecting a manuscript type, authors must click on Special Issue
of T-SA on Statistical and Perceptual Audio Processing. Authors should
follow the instructions for the IEEE Transactions on Speech and Audio
Processing and indicate in the Comments to the Editor-in-Chief that
the manuscript is submitted for publication in the Special Issue on
Statistical and Perceptual Audio Processing. We require a completed
copyright form to be signed and faxed to 1-732-562-8905 at the time of
submission.  Please indicate the manuscript number on the top of the
page.

SCHEDULE

Submission deadline:                    31 January 2005
Notification of acceptance:             30 July 2005
Final manuscript due:                   1 September 2005
Tentative publication date:             January 2006

GUEST EDITORS

Dr. Bhiksha Raj         Mitsubishi Electric Research Labs, Cambridge, MA.
                        bhiksha@xxxxxxxxxx
Dr. Malcolm Slaney      IBM, Almaden  CA.
                        malcolm@xxxxxxxx
Dr. Daniel Ellis        Columbia University New York, NY.
                        dpwe@xxxxxxxxxxxxxxx
Dr. Paris Smaragdis     Mitsubishi Electric Research Labs, Cambridge, MA.
                        paris@xxxxxxxx
Dr. Judith Brown        Wellesley College, Visiting Scientist at MIT
                        brown@xxxxxxxxxxxxx