Subject: [AUDITORY] Call for Papers: DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events, 19-20 Nov 2018 [Submission: 31 July] From: Mark D Plumbley <0000005fa4625f04-dmarc-request@xxxxxxxx> Date: Fri, 29 Jun 2018 16:18:56 +0000 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>Dear Auditory list, The DCASE workshop below may be of interest to anyone w= orking on computational analysis of sound scenes and events. Please feel fr= ee to forward to any colleagues who may be interested. Best wishes, Mark Pl= umbley ------------------- DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and = Events 19-20 November 2018, Woking, Surrey, UK ** Paper submission: 31 July 2018 ** http://dcase.community/workshop2018/ DCASE 2018 Workshop is the third workshop on Detection and Classification o= f Acoustic Scenes and Events, being organized for the third time in conjunc= tion with the DCASE challenge. We aim to bring together researchers from ma= ny different universities and companies with interest in the topic, and pro= vide the opportunity for scientific exchange of ideas and opinions. The technical program will include invited speakers on the topic of computa= tional everyday sound analysis and recognition, and oral and poster present= ations of accepted papers. In addition, a special poster session will be de= dicated to the DCASE 2018 challenge entries. The results of the Detection and Classification of Acoustic Scenes and Even= ts (DCASE) challenge 2018 will also be announced at the workshop. ** Call for papers ** We invite submissions on the topics of computational analysis of acoustic s= cenes and sound events, including but not limited to: Tasks in computational environmental audio analysis - Acoustic scene classification - Sound event detection and localization - Audio tagging - Challenges in real-life applications (e.g., rare events, overlapping sou= nd events, weak labels) Methods for computational environmental audio analysis - Signal processing methods - Machine learning methods - Auditory-motivated methods - Cross-disciplinary methods involving, e.g., acoustics, biology, psycholo= gy, geography, materials science, transports science Resources, applications, and evaluation of computational environmental audi= o analysis - Publicly available datasets or software, taxonomies and ontologies, eval= uation procedures - Ethics, privacy, responsible research - Applications - Description of systems submitted to the DCASE 2018 Challenge ** Submission ** Papers are to be formatted as 4+1 pages. Papers are maximum 5 pages, includ= ing all text, figures, and references, with the 5th page containing only re= ferences. Paper templates and the submission system will be available in early July 2= 018. ** Venue ** WWF Living Planet Centre, Woking, Surrey, UK ** Important dates: Paper submission: 31 July 2018 Notification of acceptance: 17 Sept 2018 Workshop: 19-20 November 2018 ** More information http://dcase.community/workshop2018/ dcase.workshop@xxxxxxxx =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP)=20 University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley@xxxxxxxx =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D DCASE 2018 - Detection and Classification of Acoustic Scenes and Events Challenge: 30 March - 31 July 2018 Workshop: 19 - 20 November 2018, Surrey, UK Paper submission deadline: 31 July 2018 http://dcase.community/workshop2018/ http://dcase.community/challenge2018= / =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D