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   -> Volume 11, Issue 1


CFP: Special Issue on Digital Audio
 
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Gianpaolo Evangelista (gianpaolo.evangelista@epfl.ch)
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PostPosted: Tue Jan 29, 2002 6:56 pm    
Subject: CFP: Special Issue on Digital Audio
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EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING

Special Issue on Digital Audio Signal Processing For Multimedia Communications and Broadcasting

Call-for-Papers

Renewed interest in digital processing of audio signals has been stimulated by the introduction of multimedia communication via the Internet and digital broadcasting systems. These new applications demand high bandwidth and require innovative solutions to an old problem: how to achieve high quality at low bit-rates. While modern psycho-acoustic theories are shedding new light on the assessment of audio quality -- many issues are still open. Sophisticated time-frequency representations of signals have been introduced to increase flexibility and performance in coding. However, their use in audio coding is still at an early stage. The definition of suitable audio representations must be adapted to both models of sound and perception. Furthermore, the effect of quantization and the efficient quantization techniques must be carefully studied. Structured audio coding is another emerging paradigm for high quality music broadcasting. In structured coding, algorithms and synthesis parameters are transmitted rather than just encoded sound samples. While synthesis algorithms have been developed for many years, there is a great demand for procedures that automatically allocate synthesis resources and extract synthesis parameters, i.e., fully automated structured coding. Other important issues include the development of new types of techniques for digital audio effects, realistic sound spatialization, sound restoration and processing for multimedia electroacoustic transducers. Today's digital audio algorithms draw ideas from recent and past experience in synthesis and processing of music and speech signals, perceptual and physical models of sound and hearing, transform coding and information theory. The key to success is to link several aspects of this multidisciplinary field together to develop new techniques or to improve existing methodologies. These new goals can strongly impact classical audio processing tools.

The aim of this special issue is to present state-of-the-art signal processing algorithms and methods for digital audio signal processing in the context of broadcasting, either via radio or the Internet. Prospective papers should be unpublished and present solid research work offering innovative contributions either from a theoretical or application point of view.

Papers are invited in, but not limited to, the following topics:

Representation of audio signals
Time-frequency and wavelet methods
Acoustic filter banks
Compression and coding
Sinusoidal models
Physical models
Perceptual models
Signal processing for music
Special effects
Sound spatialization
Feature extraction
Transient detection and modeling
Sound source separation
Auditory scene analysis
Methods for automated structured audio coding
Music over IP
Watermarking
Data-hiding
Restoration
Audio synthesis and control
Digital Audio Broadcasting
Pitch detection and pitch-synchronous methods

Authors should follow the EURASIP JASP manuscript format described at the Journal site http://asp.hindawi.com/. Prospective authors should submit an electronic copy of their complete manuscript through the EURASIP JASP's web submission system at http://asp.hindawi.com/wss/, according to the following timetable:


Manuscript due: May 31, 2002
Acceptance notification: November 30, 2002
Final Manuscript due: January 31, 2003
Publication date: 2nd Quarter, 2003

Guest Editors:
Dr. Gianpaolo Evangelista
Audiovisual Communications Laboratory
Swiss Federal Institute of Technology, Lausanne
IN-LCAV, EPFL Ecublens,
CH-1015 Lausanne, Switzerland
gianpaolo.evangelista@epfl.ch

Dr. Mark Kahrs
Department of Electrical Engineering
University of Pittsburgh
Pittsburgh, PA 15261
kahrs@ee.pitt.edu

Dr. Emmanuel Bacry
Centre de Mathematiques Appliquees
Ecole Polytechnique
91128 Palaiseau Cedex, France
bacry@cmapx.polytechnique.fr
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