[AUDITORY] [DEADLINE EXTENSION] Call for Papers: Special Issue on Informed Acoustic Source Separation; EURASIP Journal on Advances in Signal Processing; (Ozerov Alexey )


Subject: [AUDITORY] [DEADLINE EXTENSION] Call for Papers: Special Issue on Informed Acoustic Source Separation; EURASIP Journal on Advances in Signal Processing;
From:    Ozerov Alexey  <Alexey.Ozerov@xxxxxxxx>
Date:    Thu, 23 May 2013 09:36:47 +0200
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--_000_B02BDB2D74045345919286EDF0DA730A086E79DE1AMOPESMBX01eut_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable We apologize for cross-distribution and multiple copies. *************************************************** 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 Ga= =EBl Richard, the title, authors list and abstract of their paper (changes will be possib= le) by **MAY31st 2013** ---------------------------------------------------------------------------= --------------------------- Short Description The proposed topic of this special issue is informed acoustic source separa= tion. As source separation has long become a field of interest in the signa= l processing community, recent works increasingly point out the fact that s= eparation can only be reliably achieved in real-world use cases when accura= te prior information can be successfully incorporated. Informed separation = algorithms can be characterized by the fact that case-specific prior knowle= dge is made available to the algorithm for processing. In this respect, the= y contrast with blind methods for which no specific prior information is av= ailable. Following on the success of the special session on the same topic in EUSIPC= O 2012 at Bucharest, we would like to present recent methods, discuss the t= rends and perspectives of this domain and to draw the attention of the sign= al processing community to this important problem and its potential applica= tions. 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 s= ignals * ... ------------------- 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: Ga=EBl Richard, Institut Mines-T=E9l=E9com, T=E9l=E9com ParisTech, CNRS-LTC= I, France, --_000_B02BDB2D74045345919286EDF0DA730A086E79DE1AMOPESMBX01eut_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable <html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr= osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" = xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:= //www.w3.org/TR/REC-html40"><head><meta http-equiv=3DContent-Type content= =3D"text/html; charset=3Diso-8859-1"><meta name=3DGenerator content=3D"Micr= osoft Word 12 (filtered medium)"><style><!-- /* Font Definitions */ @xxxxxxxx {font-family:"MS Mincho"; panose-1:2 2 6 9 4 2 5 8 3 4;} @xxxxxxxx {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4;} @xxxxxxxx {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4;} @xxxxxxxx {font-family:"\@xxxxxxxx Mincho"; panose-1:2 2 6 9 4 2 5 8 3 4;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {margin:0cm; margin-bottom:.0001pt; font-size:12.0pt; font-family:"Times New Roman","serif"; color:black;} a:link, span.MsoHyperlink {mso-style-priority:99; color:blue; text-decoration:underline;} a:visited, span.MsoHyperlinkFollowed {mso-style-priority:99; color:purple; text-decoration:underline;} address {mso-style-priority:99; mso-style-link:"HTML Address Char"; margin:0cm; margin-bottom:.0001pt; font-size:12.0pt; font-family:"Times New Roman","serif"; color:black;} pre {mso-style-priority:99; mso-style-link:"HTML Preformatted Char"; margin:0cm; margin-bottom:.0001pt; font-size:10.0pt; font-family:"Courier New"; color:black;} span.EmailStyle17 {mso-style-type:personal-compose; font-family:"Calibri","sans-serif"; color:windowtext;} span.HTMLAddressChar {mso-style-name:"HTML Address Char"; mso-style-priority:99; mso-style-link:"HTML Address"; font-family:"Times New Roman","serif"; color:black; font-style:italic;} span.HTMLPreformattedChar {mso-style-name:"HTML Preformatted Char"; mso-style-priority:99; mso-style-link:"HTML Preformatted"; font-family:"Courier New"; color:black;} .MsoChpDefault {mso-style-type:export-only;} @xxxxxxxx WordSection1 {size:612.0pt 792.0pt; margin:72.0pt 72.0pt 72.0pt 72.0pt;} div.WordSection1 {page:WordSection1;} --></style><!--[if gte mso 9]><xml> <o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" /> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext=3D"edit"> <o:idmap v:ext=3D"edit" data=3D"1" /> </o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue vli= nk=3Dpurple><div class=3DWordSection1><address>We apologize for cross-distr= ibution and multiple copies.<o:p></o:p></address><pre>*********************= ******************************<o:p></o:p></pre><p class=3DMsoNormal style= =3D'margin-bottom:12.0pt'>FINAL CALL FOR PAPERS (**new deadline **) <br><br= >EURASIP Journal on Advances in Signal&nbsp; Processing <br><b>Special Issu= e on Informed Acoustic Source Separation</b><br><br>The complete call of pa= pers is accessible at:<br><a href=3D"http://asp.eurasipjournals.com/sites/1= 0233/pdf/H9386_DF_CFP_EURASIP_JASP_A4_3.pdf">http://asp.eurasipjournals.com= /sites/10233/pdf/H9386_DF_CFP_EURASIP_JASP_A4_3.pdf</a><br><br>DEADLINE: FU= LL PAPER SUBMISSION: **17th June 2013**<br><br><b>but we ask the authors of= each paper to send by email to the lead Editor Ga=EBl Richard, <br>the tit= le, authors list and abstract of their paper</b> (changes will be possible)= by **MAY31st 2013**<br><br>-----------------------------------------------= -------------------------------------------------------<br>Short Descriptio= n<br><br>The proposed topic of this special issue is informed acoustic sour= ce separation. As source separation has long become a field of interest in = the signal processing community, recent works increasingly point out the fa= ct that separation can only be reliably achieved in real-world use cases wh= en accurate prior information can be successfully incorporated. Informed se= paration algorithms can be characterized by the fact that case-specific pri= or knowledge is made available to the algorithm for processing. In this res= pect, they contrast with blind methods for which no specific prior informat= ion is available.<br>Following on the success of the special session on the= same topic in EUSIPCO 2012 at Bucharest, we would like to present recent m= ethods, 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 advanc= es and applications.&nbsp; Topics of interest include (but are not limited = to):<br><br>&#8226;&nbsp;&nbsp; &nbsp;Sparse decomposition methods<br>&#822= 6;&nbsp;&nbsp; &nbsp;Subspace learning methods for sparse decomposition<br>= &#8226;&nbsp;&nbsp; &nbsp;Non-negative matrix / tensor factorization<br>&#8= 226;&nbsp;&nbsp; &nbsp;Robust principal component analysis<br>&#8226;&nbsp;= &nbsp; &nbsp;Probabilistic latent component analysis<br>&#8226;&nbsp;&nbsp;= &nbsp;Independent component analysis<br>&#8226;&nbsp;&nbsp; &nbsp;Multidim= ensional component analysis<br>&#8226;&nbsp;&nbsp; &nbsp;Multimodal source = separation<br>&#8226;&nbsp;&nbsp; &nbsp;Video-assisted source separation<br= >&#8226;&nbsp;&nbsp; &nbsp;Spatial audio object coding <br>&#8226;&nbsp;&nb= sp; &nbsp;Reverberant models for source separation<br>&#8226;&nbsp;&nbsp; &= nbsp;Score-informed source separation<br>&#8226;&nbsp;&nbsp; &nbsp;Language= -informed speech separation<br>&#8226;&nbsp;&nbsp; &nbsp;User-guided source= separation<br>&#8226;&nbsp;&nbsp; &nbsp;Source separation informed by cove= r version<br>&#8226;&nbsp;&nbsp; &nbsp;Informed source separation applied t= o speech, music or environmental signals<br>&#8226;&nbsp;&nbsp; &nbsp;&#823= 0;<br><br>-------------------<br>Guest Editors<br>Taylan Cemgil, Bogazici U= niversity, Turkey, <br>Tuomas Virtanen, Tampere University of Technology, F= inland,&nbsp; <br>Alexey Ozerov, Technicolor, France,&nbsp; <br>Derry Fitzg= erald, Dublin institute of Technology, Ireland,&nbsp; <br><br>Lead Guest Ed= itor:<br>Ga=EBl Richard, Institut Mines-T=E9l=E9com, T=E9l=E9com ParisTech,= CNRS-LTCI, France,<br>&nbsp;<o:p></o:p></p><p class=3DMsoNormal><span styl= e=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:windowtext'>= <o:p>&nbsp;</o:p></span></p></div></body></html>= --_000_B02BDB2D74045345919286EDF0DA730A086E79DE1AMOPESMBX01eut_--


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