Connectionists: Final Call for Papers: Special Issue on Informed Acoustic Source Separation; EURASIP Journal on Advances in Signal Processing

[Derry Fitzgerald]

We apologize for cross-distribution and multiple copies.

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FINAL CALL FOR PAPERS (**new deadline **)

EURASIP Journal on Advances in Signal  Processing
*Special Issue on Informed Acoustic Source Separation*

The complete call of papers is accessible at:
http://asp.eurasipjournals.com/sites/10233/pdf/H9386_DF_CFP_EURASIP_JASP_A4_3.pdf

DEADLINE: FULL PAPER SUBMISSION: **17th June 2013**

but we ask the authors of each paper to send by email to the lead Editor 
Gaël Richard,
the title, authors list and abstract of their paper (changes will be 
possible) by **MAY31st 2013**

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Short Description

The proposed topic of this special issue is informed acoustic source 
separation. As source separation has long become a field of interest in 
the signal processing community, recent works increasingly point out the 
fact that separation can only be reliably achieved in real-world use 
cases when accurate prior information can be successfully incorporated. 
Informed separation algorithms can be characterized by the fact that 
case-specific prior knowledge is made available to the algorithm for 
processing. In this respect, they contrast with blind methods for which 
no specific prior information is available.
Following on the success of the special session on the same topic in 
EUSIPCO 2012 at Bucharest, we would like to present recent methods, 
discuss the trends and perspectives of this domain and to draw the 
attention of the signal processing community to this important problem 
and its potential applications. We are interested in both methodological 
advances and applications.  Topics of interest include (but are not 
limited to):

•    Sparse decomposition methods
•    Subspace learning methods for sparse decomposition
•    Non-negative matrix / tensor factorization
•    Robust principal component analysis
•    Probabilistic latent component analysis
•    Independent component analysis
•    Multidimensional component analysis
•    Multimodal source separation
•    Video-assisted source separation
•    Spatial audio object coding
•    Reverberant models for source separation
•    Score-informed source separation
•    Language-informed speech separation
•    User-guided source separation
•    Source separation informed by cover version
•    Informed source separation applied to speech, music or 
environmental signals
•    …

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Guest Editors
Taylan Cemgil, Bogazici University, Turkey,
Tuomas Virtanen, Tampere University of Technology, Finland,
Alexey Ozerov, Technicolor, France,
Derry Fitzgerald, Dublin institute of Technology, Ireland,

Lead Guest Editor:
Gaël Richard, Institut Mines-Télécom, Télécom ParisTech, CNRS-LTCI, France,


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