Subject: [AUDITORY] Postponed deadline: Speech Communication Special Issue on "Realism in Robust Speech and Language Processing" From: Emmanuel Vincent <emmanuel.vincent@xxxxxxxx> Date: Thu, 4 May 2017 00:00:50 +0200 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>This is a multi-part message in MIME format. --------------F499547E681CD92C95B3DBF3 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit Speech Communication Special Issue on *REALISM IN ROBUST SPEECH AND LANGUAGE PROCESSING* https://www.journals.elsevier.com/speech-communication/call-for-papers/special-issue-on-realism-in-robust-speech-and-language-proce <http://www.journals.elsevier.com/speech-communication> *New deadline: June 30, 2017* (will appear in a few days on the submission website) How can you be sure that your research has actual impact in real-world applications? This is one of the major challenges currently faced in many areas of speech processing, with the migration of laboratory solutions to real-world applications, which is what we address by the term "Realism". Real application scenarios involve several acoustic, speaker and language variabilities which challenge the robustness of systems. As early evaluations in practical targeted scenarios are hardly feasible, many developments are actually based on simulated data, which leaves concerns for the viability of these solutions in real-world environments. Information about which conditions are required for a dataset to be realistic and experimental evidence about which ones are actually important for the evaluation of a certain task is sparsely found in the literature. Motivated by the growing importance of robustness in commercial speech and language processing applications, this Special Issue aims to provide a venue for research advancements, recommendations for best practices, and tutorial-like papers about realism in robust speech and language processing. Prospective authors are invited to submit original papers in areas related to the problem of realism in robust speech and language processing, including: speech enhancement, automatic speech, speaker and language recognition, language modeling, speech synthesis and perception, affective speech processing, paralinguistics, etc. Contributions may include, but are not limited to: - Position papers from researchers or practitioners for best practice recommendations and advice regarding different kinds of real and simulated setups for a given task - Objective experimental characterization of real scenarios in terms of acoustic conditions (reverberation, noise, sensor variability, source/sensor movement, environment change, etc) - Objective experimental characterization of real scenarios in terms of speech characteristics (spontaneous speech, number of speakers, vocal effort, effect of age, non-neutral speech, etc) - Objective experimental characterization of real scenarios in terms of language variability - Real data collection protocols - Data simulation algorithms - New datasets suitable for research on robust speech processing - Performance comparison on real vs. simulated datasets for a given task and a range of methods - Analysis of advantages vs. weaknesses of simulated and/or real data, and techniques for addressing these weaknesses Papers written by practitioners and industry researchers are especially welcomed. If there is any doubt about the suitability of your paper for this special issue, please contact us before submission. *Submission instructions:* Manuscript submissions shall be made through EVISE at https://www.evise.com/profile/#/SPECOM/login <https://www.evise.com/profile/#/SPECOM/login> Select article type "SI:Realism Speech Processing" *Important dates:* June 30, 2017: Paper submission September 30, 2017: First review November 30, 2017: Revised submission April 30, 2018: Completion of revision process *Guest Editors:* Dayana Ribas, CENATAV, Cuba Emmanuel Vincent, Inria, France John Hansen, UTDallas, USA --------------F499547E681CD92C95B3DBF3 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum1.it.mcgill.ca id v43M1Kur016553 <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3Dutf= -8"> </head> <body text=3D"#000000" bgcolor=3D"#FFFFFF"> <div dir=3D"ltr">Speech Communication <div class=3D"gmail_quote"> <div dir=3D"ltr"> <div class=3D"gmail_quote"> <div dir=3D"ltr"> <div class=3D"gmail_quote"> <div dir=3D"ltr"> <div class=3D"gmail_quote"> <div dir=3D"ltr"> <div class=3D"m_1326607030322606621m_1856419785963000956m_-6021169044436849635= m_-7929540081637385606m_6363931505288747189m_-812625388536051111gmail_sig= nature"> <div dir=3D"ltr"> <div> <div dir=3D"ltr"> <div> <div style=3D"font-size:13px">Special Issue on <b>REALISM IN ROBUST SPEECH AND LANGUAGE =C2=A0PROCESSING</b><br> <a href=3D"https://www.journals.elsevier.com/speech-communication/call-for-p= apers/special-issue-on-realism-in-robust-speech-and-language-proce">https= ://www.journals.elsevier.com/speech-communication/call-for-papers/special= -issue-on-realism-in-robust-speech-and-language-proce</a><br> <div><a href=3D"http://www.journals.elsevie= r.com/speech-communication" target=3D"_blank"><wbr></a></div> <br> <div><b>New deadline: June 30, 2017</b> (will appear in a few days on the submission website)<span style=3D"color:rgb(53,28,117)"><br> </span></div> <div><br> </div> <div>How can you be sure that your research has actual impact in real-world applications? This is one of the major challenges currently faced in many areas of speech processing, with the migration of laboratory solutions to real-world applications, which is what we address by the term "Realism". Real application scenarios involve several acoustic, speaker and language variabilities which challenge the robustness of systems. As early evaluations in practical targeted scenarios are hardly feasible, many developments are actually based on simulated data, which leaves concerns for the viability of these solutions in real-world environments.</div> <div><br> </div> <div>Information about which conditions are required for a dataset to be realistic and experimental evidence about which ones are actually important for the evaluation of a certain task is sparsely found in the literature. Motivated by the growing importance of robustness in commercial speech and language processing applications, this Special Issue aims to provide a venue for research advancements, recommendations for best practices, and tutorial-like papers about realism in robust speech and language processing.</div> <div><br> </div> <div>Prospective authors are invited to submit original papers in areas related to the problem of realism in robust speech and language processing, including: speech enhancement, automatic speech, speaker and language recognition, language modeling, speech synthesis and perception, affective speech processing, paralinguistics, etc. Contributions may include, but are not limited to:</div> <div><br> </div> <div>=C2=A0- =C2=A0 Position papers fro= m researchers or practitioners for best practice recommendations and advice regarding different kinds of real and simulated setups for a given task</div> <div>=C2=A0- =C2=A0 Objective experimen= tal characterization of real scenarios in terms of acoustic conditions (reverberation, noise, sensor variability, source/sensor movement, environment change, etc)</div> <div>=C2=A0- =C2=A0 Objective experimen= tal characterization of real scenarios in terms of speech characteristics (spontaneous speech, number of speakers, vocal effort, effect of age, non-neutral speech, etc)</div> <div>=C2=A0- =C2=A0 Objective experimen= tal characterization of real scenarios in terms of language variability=C2=A0= </div> <div>=C2=A0- =C2=A0 Real data collectio= n protocols</div> <div>=C2=A0- =C2=A0 Data simulation alg= orithms</div> <div>=C2=A0- =C2=A0 New datasets suitab= le for research on robust speech processing<= /div> <div>=C2=A0- =C2=A0 Performance compari= son on real vs. simulated datasets for a given task and a range of methods</di= v> <div>=C2=A0- =C2=A0 Analysis of advanta= ges vs. weaknesses of simulated and/or real data, and techniques for addressing these weaknesses</div> <div><br> </div> <div>Papers written by practitioners and industry researchers are especially welcomed. If there is any doubt about the suitability of your paper for this special issue, please contact us before submission.</div> <div><br> </div> <div><br> </div> <div><b>Submission instructions:</b><br= > </div> <div>Manuscript submissions shall be made through EVISE at=C2=A0<a href=3D"https://www.evise.com/profi= le/#/SPECOM/login" target=3D"_blank">https://www.evise= .com/profi<wbr>le/#/SPECOM/login</a></div> <div>Select article type "SI:Realism Speech Processing"<br> </div> <div><br> </div> <div><br> </div> <div><b>Important dates:</b><br> </div> June 30, 2017: Paper submission <div>September 30, 2017: First review</= div> <div>November 30, 2017: Revised submission</div> <div>April 30, 2018: Completion of revision process</div> <div><br> </div> <div><br> </div> <div><b>Guest Editors:</b><br> </div> <div>Dayana Ribas, CENATAV, Cuba</div> <div>Emmanuel Vincent, Inria, France</d= iv> <div>John Hansen, UTDallas, USA</div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </body> </html> --------------F499547E681CD92C95B3DBF3--