IEEE Tr Speech/Audio special issue CFP (Dan Ellis )

Subject: IEEE Tr Speech/Audio special issue CFP
From:    Dan Ellis  <dpwe(at)EE.COLUMBIA.EDU>
Date:    Wed, 14 Jul 2004 12:04:53 -0400

Dear List -

Attached is the call for a special issue of IEEE Tr. Speech & Audio
that I'm co-editing.  We're trying to provide a focus for people
working on the application of statistical techniques to
perceptual-style sound processing etc.

  DAn.

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                         * Call for Papers *

         The IEEE Transactions on Speech and Audio Processing
                          Special Issue on
             Statistical and Perceptual Audio Processing

          http://journal.speech.cs.cmu.edu/SAPA2004/IEEESAP/

Systems for automatic audio analysis fall into two broad camps: those
based on statistical methods and models (e.g.  current speech
recognizers, independent component analysis), and those mimicking
perceptual systems (exemplified by computational auditory scene
analysis, as well as early approaches to speech recognition such as
blackboards).

Both these approaches have their merits, and their strengths appear
complementary.  The goal of this special issue is to collect work that
integrates these two threads - using rigorous, statistical tools to
exploit cues and processing analogous to those used by listeners.

In this special issue we invite researchers to submit papers that
combine perceptual and statistical principles, as applied to speech,
music and audio analysis. Papers describing original and previously
unpublished relevant research and new concepts are solicited on, but
not limited to, the following topics:

 * General audio analysis      * Perceptual aspects of statistical algorithms
 * Speech analysis               such as independent component analysis and
 * Music analysis                non-negative matrix factorization.
 * Audio classification        * Hybrid methods that use CASA-like cues in a
 * Speech recognition            statistical framework, e.g. for separation
 * Signal separation             or recognition.
 * Multi-channel analysis      * Theoretical and empirical results on the
 * Computational Auditory        unification of statistical and perceptually
   Scene Analysis (CASA)         based approaches.

This special issue is a sequel to the ISCA Tutorial and Research
Workshop on Statistical and Perceptual Audio Processing being held
as a satellite to ICSLP-04 this October 2004 in Jeju, Korea:
  http://www.sapa2004.org/
However, the special issue is a separate entity and participation in
the workshop will not influence the special issue review process.

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      <bhiksha(at)merl.com>
                              Mitsubishi Electric Research Labs, Cambridge, MA.
Dr. Malcolm Slaney   <malcolm(at)ieee.org>
                              IBM Almaden Research Center, San Jose, CA.
Dr. Daniel Ellis     <dpwe(at)ee.columbia.edu>
                              Columbia University New York, NY.
Dr. Paris Smaragdis  <paris(at)merl.com>
                              Mitsubishi Electric Research Labs, Cambridge, MA.
Dr. Judith Brown     <brown(at)media.mit.edu>
                              Wellesley College, MA, Visiting Scientist at MIT.

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