[AUDITORY] Applied Sciences Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening (Juhan Nam )


Subject: [AUDITORY] Applied Sciences Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening
From:    Juhan Nam  <juhan@xxxxxxxx>
Date:    Fri, 4 Oct 2019 13:16:19 -0400
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--000000000000f13921059418dc0c Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable [apologies for the cross posting, please circulate widely] Dear All, I would like to draw your attention on a Special Issue entitled "Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening" to be published in the open-access journal MDPI Applied Sciences, see: https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Acoust= ical_Problems In this special issue, we welcome the submission of papers dealing with novel computational methods involving modelling, parametrisation and knowledge extraction from acoustic data. The considered topics include, e.g.: Applications of deep learning to sound synthesis Control and estimation problems in physical modeling Intelligent music production and novel digital audio effects Representation learning and/or transfer of musical composition and performance characteristics including, timbre, style and playing technique Analysis and modelling of acoustic phenomena including musical acoustics, speech signals, room acoustics, environmental, ecological, medical and machine sounds Machine listening and perception models inspired by human hearing Application of deep learning to wave propagation problems in fluids and solids The deadline for full manuscript submission is 15 April 2020 (an extension for at most 8 weeks can be offered if needed). *Submission Guide* Please visit the Instructions for Authors before submitting a manuscript: http://www.mdpi.com/journal/applsci/instructions/. Manuscripts should be submitted through the online manuscript submission and editorial system at https://susy.mdpi.com/user/manuscripts/upload/69f0c3896eecc14bb638bb258b3cf= d6c?form%5Bjournal_id%5D=3D90&form%5Bspecial_issue_id%5D=3D33459 . We are looking forward to receiving a positive reply from you soon. Kind regards, Guest Editors Dr. Leonardo Gabrielli, Department of Information Engineering, Universit=C3= =A0 Politecnica delle Marche (UNIVPM), Italy Dr. George Fazekas, Center for Digital Music (C4DM), Queen's Mary University, London, UK Dr. Juhan Nam, Korea Advanced Institute of Science and Technology (KAIST), Korea --000000000000f13921059418dc0c Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">[apologies for the cross posting, please circulate widely]= <br><br>Dear All,<br><br>I would like to draw your attention on a Special I= ssue entitled &quot;Deep Learning for Applications in Acoustics: Modeling, = Synthesis, and Listening&quot; to be published in the open-access journal M= DPI Applied Sciences, see:<a href=3D"https://www.mdpi.com/journal/applsci/s= pecial_issues/Machine_Learning_Acoustical_Problems">https://www.mdpi.com/jo= urnal/applsci/special_issues/Machine_Learning_Acoustical_Problems</a> <br><= br>In this special issue, we welcome the submission of papers dealing with = novel computational methods involving modelling, parametrisation and knowle= dge extraction from acoustic data. The considered topics include, e.g.:<br>= <br>Applications of deep learning to sound synthesis<br>Control and estimat= ion problems in physical modeling<br>Intelligent music production and novel= digital audio effects<br>Representation learning and/or transfer of musica= l composition and performance characteristics including, timbre, style and = playing technique<br>Analysis and modelling of acoustic phenomena including= musical acoustics, speech signals, room acoustics, environmental, ecologic= al, medical and machine sounds<br>Machine listening and perception models i= nspired by human hearing<br>Application of deep learning to wave propagatio= n problems in fluids and solids<br><br>The deadline for full manuscript sub= mission is 15 April 2020 (an extension for at most 8 weeks can be offered i= f needed).<br><br>*Submission Guide*<br><br>Please visit the Instructions f= or Authors before submitting a manuscript:<br><a href=3D"http://www.mdpi.co= m/journal/applsci/instructions/">http://www.mdpi.com/journal/applsci/instru= ctions/</a>. <br><br>Manuscripts should be submitted through the online man= uscript submission and editorial system at<br><a href=3D"https://susy.mdpi.= com/user/manuscripts/upload/69f0c3896eecc14bb638bb258b3cfd6c?form%5Bjournal= _id%5D=3D90&amp;form%5Bspecial_issue_id%5D=3D33459">https://susy.mdpi.com/u= ser/manuscripts/upload/69f0c3896eecc14bb638bb258b3cfd6c?form%5Bjournal_id%5= D=3D90&amp;form%5Bspecial_issue_id%5D=3D33459</a>.<br><br>We are looking fo= rward to receiving a positive reply from you soon.<br><br>Kind regards, <br= ><br>Guest Editors<br><br>Dr. Leonardo Gabrielli, Department of Information= Engineering, Universit=C3=A0 Politecnica delle Marche (UNIVPM), Italy<br>D= r. George Fazekas, Center for Digital Music (C4DM), Queen&#39;s Mary Univer= sity, London, UK<br>Dr. Juhan Nam, Korea Advanced Institute of Science and = Technology (KAIST), Korea<br></div> --000000000000f13921059418dc0c--


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