Thursday, April 15, 2021

Fwd: [DMRN-LIST] NIME 2021 registration scholarships sponsored by Ableton


* With apologies for cross-posting *

Hi all,

On behalf of Laurel Pardue it is my pleasure to announce that Ableton are proud to sponsor a number of student and regular registrations for NIME 2021 in collaboration with the NIME diversity committee. The NIME diversity committee's mission is to help broaden the NIME community and improve inclusivity and respect especially towards under-represented groups, be that in regards to gender, ethnicity, disability, area of study, or financial ability. If you feel you could benefit from a scholarship to cover your registration, please apply. As places are limited, please do not apply if you are able to get funding through your affiliate institution.

To be eligible you must complete the application form: https://www.smartsurvey.co.uk/s/T1AKEH/

The application is short and simple, requesting some personal data and asking you to justify in 250 words or less why you are applying for funding and why we should fund you. The first round of applications will close by 19th April (GMT midnight) in order for the diversity committee to award scholarships prior to the April 24th early bird registration deadline. We apologise for the short notice. If not all registration scholarships are claimed, we will hold further rounds until all scholarships have been claimed.

Preference will be given to those who have a submission accepted to NIME 2021 but all are welcome to apply. Please feel free to forward this e-mail to interested parties.

Thanks,
Laurel, Juan and Anna (WiNIME)

NIME Diversity Committee Officers
----------------------------------------------

Juan Pablo Martinez Avila

PhD Student

Mixed Reality Lab

School of Computer Science

University of Nottingham

Nottingham, UK 

Check out my publications here!


Wednesday, April 14, 2021

Lockdown Lights: Discovering the Potential of Your Voice

 

UCL Culture newsletter

 

 

Discovering the Potential of your Voice

 

 

Virtual event

Wednesday 21 April 2021

17:30 - 18:45, Free

 

We'd like to invite you to the final event in our Lockdown Lights series, and this time we're focusing on the power of your own voice.

 

What is it about not always liking the sound of our own voice? How do we describe other people's voices? What's the difference between a singing voice and a speaking voice?

  

Delve into the fascinating world of sound and learn more about the power of the human voice with UCL researcher Dr Evangelos Himonides and composer Hannah Conway who will lead an interactive workshop exploring our very own instrument. Our resident DJ Richard DeDomenici will spin tracks to set the scene and compliment the activities.

 

 

 

Join us online

 

 

UCL Culture is home to a family of world-class museums, galleries and theatres. Our collections range from art and archaeology, through to sciences and zoology.

 

Follow us on Twitter and Instagram

Explore UCL Culture from home

 


 


Saturday, April 10, 2021

Fwd: [DMRN-LIST] Research Fellow post in Machine Learning for Audio Captioning at University of Surrey, UK (deadline extended to: 15th April 2021)



Research Fellow in Machine Learning for Audio Captioning 

 

Applications are invited for a Research Fellow (RF) position for 22 months within the Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, UK, to work on a project titled "Automated Captioning of Image and Audio for Visually and Hearing Impaired", which is a collaborative project between the University of Surrey and the Izmir Katip Celebi University (IKCU), Turkey, with project partners from charities and industrial sectors working with the hearing and visually impaired. This project aims to address fundamental challenges in audio and image captioning, develop new algorithms to improve performance of audio and image captioning algorithms, and application tools that could be used by the hearing and visually impaired to access audio and image content.  

 

The work at Surrey will focus on new methods and algorithms of automated audio captioning and natural language description of audio. This work is built on the significant contributions of CVSSP in the area of acoustic scene analysis, audio event detection, environmental sound recognition, and audio tagging, together with preliminary results on audio captioning. This new project offers an opportunity to take this work to the next stages, and demonstrate the benefit of such technologies for the hearing and visually impaired. A smartphone based prototype will be developed for audio and visual captioning jointly by Surrey and IKCU. New data will also be gathered, including audio-visual data for captioning, and user feedback for the prototype system.  

 

The postholder will be responsible for investigating and developing audio signal processing, machine learning algorithms for natural language description of sound, and implementing software for prototyping the concept and algorithms. The postholder should have a doctoral level (or equivalent) research and development experience in electronic engineering, applied mathematics, computer science, artificial intelligence, machine learning, natural language processing, or related subjects. The postholder should ideally have experience in one of the following areas: audio captioning, machine description of audio, audio classification, audio tagging, image captioning, video captioning, translations between audio/image and texts, and/or translation between audio and video. 

 

The post-holder will be based in CVSSP, and work under the direction of the Principal Investigator Prof Wenwu Wang, with co-supervision by Prof Sabine Braun, Director of the Centre for Translation Studies, at University of Surrey, and in collaboration with Dr Volkan Kilic, from the IKCU, Turkey. 

 
CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with over 150 researchers, a grant portfolio of £24M (£17.5M EPSRC) from EPSRC, EU, InnovateUK, charity and industry, and a turnover of £7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 120 GPUs and >1PB of high-speed secure storage. 

 

For informal inquiries, please contact Prof Wenwu Wang (Email: w.wang@surrey.ac.uk; Web: http://personal.ee.surrey.ac.uk/Personal/W.Wang/). 

 

Please apply online using the following link:  


https://jobs.surrey.ac.uk/vacancy.aspx?ref=015821 



Best wishes,
 
Wenwu
 
 
 
--
Professor Wenwu Wang
Centre for Vision Speech and Signal Processing
Department of Electronic Engineering
University of Surrey
Guildford GU2 7XH
United Kingdom
Phone: +44 (0) 1483 686039
Fax: +44 (0) 1483 686031
Email: w.wang@surrey.ac.uk
http://personal.ee.surrey.ac.uk/Personal/W.Wang/


Fwd: Four research posts available at CVSSP, University of Surrey, UK




Apologies for cross-posting.  

 

Attached below is an advertisement for four research posts available at CVSSP, Surrey, in the area of audio-visual AI.  Please feel free to share with those who might be interested. Many thanks. 

Best wishes, 

Wenwu   

 

 

Join a new research partnership with the BBC at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey 

Four research posts available in Audio-Visual AI, Computer Vision and Audio:  

Research Fellow B https://jobs.surrey.ac.uk/Vacancy.aspx?ref=015321 

Research Fellow A https://jobs.surrey.ac.uk/vacancy.aspx?ref=015121 

2x Research Software Engineer/Research Assistant https://jobs.surrey.ac.uk/vacancy.aspx?ref=015621 

  

Exciting opportunity for outstanding researchers in Computer Vision, Audio and Audio-Visual AI to join CVSSP as part of a major new five-year research partnership with the BBC to realise Future Personalised Media Experiences. 

The goal of the research partnership is to realise future personalised content creation and delivery at scale for the public at home or on the move. CVSSP research will address the key challenges for personalised content creation and rendering by advancing computer vision and audio-visual AI to transform captured 2D video to object-based media. Research will advance automatic online understanding, reconstruction and neural rendering of complex dynamic real-world scenes and events. This will enable a new generation of personalised media content which adapts to user requirements and interests. The new partnership with the BBC and creative industry partners will position the UK to lead future personalised media experiences. 

The Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is ranked first in the UK for computer vision. The centre leads ground-breaking research in audio-visual AI and machine perception for the benefit of people and society through technological innovations in healthcare, security, entertainment, robotics and communications. Over the past two decades CVSSP has pioneered advances in 3D and 4D computer vision, spatial audio and audio-visual AI which have enabled award winning technologies for content production in TV, film, games and immersive entertainment. 

BBC R&D (bbc.co.uk/rd) has a worldwide reputation for developments in media technology going back over 90 years and has worked closely with CVSSP for over 20 years. It has pioneered the development of object-based media, working closely with programme-makers and technology teams across the BBC. Recent work has included object-based audio delivery across multiple synchronised devices for sports and drama, and AI for recognising wildlife for natural history. 

This is an opportunity for outstanding researchers to join a world-renowned research centre at the start of a major new five-year research partnership.  

Research Fellow B 

The Research Fellow B will be an experienced researcher with an excellent track-record of publication in leading academic forums and post-doctoral research leadership. The successful candidate will take an active role in leading the research programme, contributing novel machine learning approaches to real-world dynamic scene understanding and reconstruction from video, and co-supervision of post-doctoral and PhD researchers. 

Research Fellow A 

The Research Fellow A will hold a PhD in computer vision, audio and/or audio-visual AI with a track-record of publication in leading academic forums. The successful candidate will contribute novel machine learning approaches advancing audio-visual AI to transform video of real-world scenes to object-based representation and neural rendering. The post-holder will collaborate with the team and project partners to realise personalised media experiences. 

2x Research Software Engineer/Research Assistant  

The Research Software Engineer/Research Assistant will have experience of research and software development in computer vision, audio and machine learning.  The post holder will support the research programme, contributing to research and technologies which enable the transformation of video to audio-visual objects, production of personalised media experiences and object-based audio-visual rendering. 

All posts are at the core of a research team working together with the BBC, University and industry partners to realise personalised object-based media experiences at scale for offline content and live events.  These posts will enable individuals to advance knowledge in computer vision, audio and machine learning and raise their own academic and research profile by joining Europe's largest research centre in this field. All posts will initially be offered for a fixed term which is extendable for the 5 year duration of the partnership. 

 

 

 
 
--
Professor Wenwu Wang
Centre for Vision Speech and Signal Processing
Department of Electronic Engineering
University of Surrey
Guildford GU2 7XH
United Kingdom
Phone: +44 (0) 1483 686039
Fax: +44 (0) 1483 686031
Email: w.wang@surrey.ac.uk
http://personal.ee.surrey.ac.uk/Personal/W.Wang/
 

 


Thursday, April 1, 2021

Fwd: PhD studentships in Artificial Intelligence and Music (AIM) at Queen Mary University of London



UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM), Queen Mary University of London
  • Fully-funded PhD studentships to start in September 2021
  • Cover fees and a stipend for four years
  • Call open to UK resident applicants
  • Application deadline: 19 April 2021

Why apply to the AIM Programme?
  • 4-year fully-funded PhD studentships available
  • Extensive choice of projects, drawing on a supervisory team of over 30 academics
  • Access to cutting-edge facilities and expertise in artificial intelligence (AI) and music/audio technology
  • Comprehensive technical training at the intersection of AI and music through a personalized programme
  • Partnerships with over 25 companies and cultural institutions in the music, audio and creative sectors
More information on the AIM Programme can be found at: https://www.aim.qmul.ac.uk/

Programme structure
Our Centre for Doctoral Training (CDT) offers a four year training programme where students will carry out a research project in the intersection of AI and music, supported by taught specialist modules, industrial placements, and skills training. Find out more about the programme structure at: http://www.aim.qmul.ac.uk/about/ 

Who can apply?
We are on the lookout for outstanding students interested in the intersection of music/audio technology and AI. Successful applicants will have the following profile:
  • Hold or be completing a Masters degree at distinction or first class level, or equivalent, in Computer Science, Electronic Engineering, Music/Audio Technology, Physics, Mathematics, Music or Psychology. In exceptional circumstances we accept applicants with a first class Bachelors degree who do not hold a Masters degree, provided that applicants can provide evidence of equivalent research experience, industry experience, or specialist training.
  • Programming skills are strongly desirable; however we do not consider this to be an essential criterion if candidates have complementary strengths.
  • Musical training (any of performance, production, composition or theory) is desirable but not a prerequisite.
For this call we are accepting applications from UK resident applicants. Candidates must meet one of the following criteria:
  • Be a UK National (meeting residency requirements), or
  • Have settled status in the UK, or
  • Have pre-settled status in the UK (meeting residency requirements), or
  • Have indefinite leave to remain or enter the UK.
Eligibility guidelines are included in full at https://www.aim.qmul.ac.uk/apply/ . Queen Mary's commitment to our diverse and inclusive community is embedded in our student admissions processes. We particularly welcome applications from women and under-represented groups, and from applicants in all stages of life. 

Funding
For this call we offer a number of fully-funded 4-year PhD studentships available for students starting in September 2021 which will cover the cost of tuition fees and will provide an annual tax-free stipend (£17,609 in 2021/22). The CDT will also provide funding for conference travel, equipment, and for attending other CDT-related events.

Apply Now
Information on applications and PhD topics can be found at: http://www.aim.qmul.ac.uk/apply
Application deadline: 19 April 2021
For further information on eligibility, funding and the application process please visit our website. Please email any questions to aim-enquiries@qmul.ac.uk


— 
Dr. George Fazekas, 
Senior Lecturer in Digital Media 
Programme Coordinator, Sound and Music Computing (SMC)
Centre for Digital Music (C4DM)
School of Electronic Engineering and Computer Science
Queen Mary University of London, UK
FHEA, M. IEEE, ACM, AES


Thursday, March 25, 2021

ACCELERATE Innovation: Team Challenge

 

The Academic Careers Office & Translational Research Office are excited to announce our next ACCELERATE initiative; Team Challenge. This eight-week hands on training programme will see you apply knowledge and skills to develop a proposal to solve a real-life translational research challenge of your choosing in an interdisciplinary team. For example, this can be a commercial idea for a healthcare need (e.g., a new product or service) or a way of improving an existing service in a non-commercial setting (e.g., making a hospital process work more efficiently, healthcare data sharing etc.) - anything that proposes to improve healthcare.

 

At the end of the programme there will be a chance to bid for up £10,000 or non-financial support to take your team's proposal forward.

 

Target audience: This eight-week team challenge is aimed at all healthcare researchers across UCL and the three UCL BRCs, from any discipline and background, from first year post-doctoral fellows upwards. This includes those starting to develop their own research group. Applicants will apply as individuals and then teams will form in the first few weeks of the programme.

 

When and where: The programme will run online on a Tuesday afternoon, 12:30pm – 3:00pm from 25th May for eight consecutive weeks. In applying to be considered for this exciting new programme we would expect you to be able to make all the sessions. There will be minimal pre session work to complete in your own time to maximise the group engagement during the sessions.

 

Apply: To gain a place on this highly sought-after programme please complete the application form by 14 April 2021 (23:59 BST). Shortlisted applicants will be informed by 23 April 2021.For any questions please contact the ACCELERATE Manager, Kim Gurwitz k.gurwitz@ucl.ac.uk

Wednesday, March 24, 2021

Fwd: Cambridge Leonardo LASER Talks - CRASSH 25 March 18:00-20:00


Dear CMS friends,

We invite you to join us on Thursday March 25th at 18:00-20:00 for the second event of the Cambridge LASER Talks  (Leonardo Art Science Evening Rendevouz), called 'The Known World', curated by our own Chrysi Nanou!

http://www.crassh.cam.ac.uk/events/29706

Registration: https://www.leonardo.info/civicrm/event/info?id=619&reset=1

The Cambridge LASER talks (Leonardo Art Science Evening Rendez-vous) questions the separation and propagation of art and science as distinct categories of knowing and being. We ask, 'What is creativity in science and the arts? What is experimental practice in art, science, or philosophy? Where do scientific and artistic attitudes, inquiries, methods overlap? How do they differ and complement each other? Can such understanding help shape our technological, urban, economic, and environmental futures for an ecologically and socially sustainable life and wellbeing.

The Known World
Chaired by Satinder Gill, Chrysi Nanou and Prerona Prasad

In this Cambridge LASER, we bring together musicians, scientists, and data scientists to discuss the processes of creativity and discovery and analysis of environmental data. It is the first in a series that will address the concept of data: how we collect, perceive, analyse, construct, make sense of and translate data, in various thematic contexts.
This Cambridge LASER responds to a concert curated by musician and music psychologist Chryssie Nanou, entitled 'The Known World'. It features works for piano, celetto and mixed media created using environmental data sets and sounds.
Four composers bring their distinct voices to raise awareness to ongoing environmental changes through sound and music, in particular, of three distinct locations unfolding their ecosystem: underneath the Arctic ice on the Alaskan coast, Svalbard coastline, and San Francisco's Crissy Field. These pieces together create an instantly compelling palette, one that simultaneously combines current technologies with ideas, materials and traditions inspired by the natural world.
Electronic sounds mixed with water, ice crackling, animal cries, hand-made instruments and sonic objects along with a technologically reimagined piano and cello, create a kind of harmony with contrasting lyrical improvisations and the overhead whine, purr and rumble of the nearby urban environment.

Programme

Satinder P. Gill (https://cms.mus.cam.ac.uk/directory/satinder-gill) - Cambridge LASER Chair
Centre for Music and Science, University of Cambridge, and Managing Editor of AI & Society Journal ( https://www.springer.com/journal/146 ).
Welcome to the Cambridge LASER Series – Why the Art & Science of data?

Prerona Prasad (https://www.dow.cam.ac.uk/people/dr-prerona-prasad) – Cambridge LASER Co-Chair.
Curator of the Heong Gallery (https://www.dow.cam.ac.uk/cultural-life/heong-gallery), Downing College Cambridge
Introduction to the Heong Gallery.

Chrysi Nanou (https://chrysinanou.wordpress.com) – Cambridge LASER Co-Chair.
Centre for Music and Science, University of Cambridge, and Centre for Music Research in Music and Acoustics (CCRMA) Stanford University.  Nanou is a Performer, curator, lecturer and teacher of piano performance. Her work gives special emphasis to performance practices for today's acoustic and electro-acoustic contemporary music.
Introducing The New World project and performing Iceprints, composed by Matthew Burtner.

Matthew Burtner (http://matthewburtner.com) - Eleanor Shea Prof. of Music in Composition and Computer Technologies, University of Virginia. Co-director of Coastal Futures Conservatory, Director of the Alaska-based EcoSono non-profit organization.
Composing Iceprints

The Metered Tide by Chris Chafe for celetto and tidal data

Chris Chafe, (https://chrischafe.net) – Director of Centre for Music Research in Music and Acoustics (CCRMA), Duca Family Professor of Humanities and Science, University of Stanford.
Chafe's works include gallery and museum music installations which are now into their second decade with "musifications" resulting from collaborations with artists, scientists and MD's. Recent work includes the Earth Symphony, the Brain Stethoscope project (Gnosisong), PolarTide for the 2013 Venice Biennale, Tomato Quintet for the transLife:media Festival at the National Art Museum of China.
The Metered Tide https://ccrma.stanford.edu/~cc/dataGG.mp4


frostbYte – music by Daniel Blinkhorn (https://danielblinkhorn.com)


Aaron O'Connor (http://thearcticcircle.org/2018/01/12/artists-in-the-arctic/ ) - Director of the Arctic Circle Foundation  (established in 2009), an artist and scientist led annual expeditionary residency program.
The Arctic Circle Foundation


Victoria Vesna (https://www.victoriavesna.com/index.php?p=biography) – Artist and Professor in Design Media Arts, UCLA, Director of the Art|Sci Centre in the School of Arts and California NanoSystems Institute. Vesna's work involves long-term collaborations with composers, nano-scientists, neuroscientists, and evolutionary biologists. With her installations she investigates how communication technologies affect collective behavior and perceptions of identity shift in relation to scientific innovation.
Noise Aquarium http://noiseaquarium.com


Richard Wolfson (https://www.middlebury.edu/institute/people/richard-wolfson) -  Benjamin F. Wissler Emeritus Professor of Physics, Middlebury College, where he also taught in the Environmental Studies Program and at the Middlebury Institute in Monterey. Wolfson's research involves the Sun, climate change, and solar energy. Author of numerous books and textbooks including Energy, Environment, and Climate.


A Conversation - Jonathan Impett and Chrysi Nanou reflect on the processes of composing and performing to data.
Jonathan Impett (https://orpheusinstituut.be/en/orpheus-research-centre/researchers/jonathan-impett)- Director of Research, Orpheus Institute, Gent, and Associate Professor at Middlesex University, London. Impett's professional and research activities cover many aspects of contemporary musical practice, as trumpet player, composer and theorist.


https://www.youtube.com/playlist?list=PLtMctW9Wk-HG0MD9VGDrfGhbnBJgJq-YK




Monday, March 22, 2021

Fwd: Final CfP: Digital Libraries for Musicology (DLfM) 2021, July 28-30th


CFP: 8th International Conference on Digital Libraries for Musicology (In Association with IAML 2021), July 28-30, 2021


The Digital Libraries for Musicology (DLfM) conference presents a venue for those engaging with Digital Library systems and content in the domain of music and musicology. It provides a forum for musicians, musicologists, librarians, and technologists to share findings and expertise.


CALL FOR PAPERS

The 8th DLfM conference (https://dlfm.web.ox.ac.uk), to be held online, welcomes contributions related to any aspect of digital libraries and musicology, including topics related to musical archiving and retrieval, cataloguing and classification, musical databases, special collections, music encodings and representations, computational musicology, or music information retrieval (MIR). This year's conference will be held in association with the online IAML Congress (https://www.iaml.info/congresses/2021-online), and will feature a joint paper session as well as a joint poster session. In bringing these two conferences together we aim to encourage new collaborations and foster larger group discussions surrounding prominent issues in the digital humanities.

This year's theme of "bridging the gap" is designed to bring together scholars working across the niche subfields of digital libraries and humanities, computational musicology, and MIR with the aim of broadening the understanding of the needs, obstacles, and optimal outcomes within each of these subfields in the DLfM community, and how outcomes in one area can best be applied to (or served by) another.

The conference strongly encourages papers and posters that address this year's theme, however, we welcome all papers addressing all traditional topics that fall under the scope of DLfM. Specific examples of topics traditionally covered at DLfM can be found at https://dlfm.web.ox.ac.uk. We are pleased to announce our proceedings will again be published in ACM ICPS this year.

In light of the challenges surrounding conference planning and travel during a pandemic, this year's DLfM conference will be entirely virtual.  The conference organizers are striving to make an engaging and interactive conference while we patiently and eagerly anticipate a return to in-person conferences in 2022.


IMPORTANT DATES (AoE)

Abstract submission deadline: March 29, 2021 

Paper submission deadline: April 5, 2021 

Notification of Acceptance: May 3, 2021

Camera-ready submission deadline: June 13, 2021

Conference: July 28-30



SUBMISSIONS


Proceedings Track Submissions

We invite full papers (up to 8 pages excluding references) or short papers (up to 4 pages excluding references). An abstract of the proposed paper must be submitted to DLfM via EasyChair by March 29, 2021. The full papers are expected to be submitted to DLfM on EasyChair and following the ACM template by April 5, 2021.  Authors will need to follow carefully the instructions for formatting. It is the authors' responsibility to ensure that their submissions adhere strictly to the required format. Submissions that do not comply with the above requirements may be rejected without review. For paper templates, please refer to the DLfM 2021 website(https://dlfm.web.ox.ac.uk). Page limits for submitted papers apply to all text, but exclude the bibliography (i.e. references can be included on pages over the specified limits). 


Authors of accepted paper submissions are expected to submit corrected, camera-ready copies, which must be received by June 13, 2021. Papers for each track will be peer reviewed by 2-3 members of the programme committee. For accepted paper submissions, at least one author must register for the conference (as a presenter) by June 13th.


All submitted papers must:

  • be written in English;

  • contain author names, affiliations, and e-mail addresses;

  • be formatted according to the appropriate ACM template 

  • be in PDF format, and formatted for A4 size


An additional call for (unpublished) poster presentations will follow. 


For more detailed submission procedures and information, please visit https://dlfm.web.ox.ac.uk.


Submission link: https://easychair.org/conferences/?conf=dlfm2021


Contact email: dlfm2021@easychair.org


 

CONFERENCE ORGANISATION


Programme Chair

Claire Arthur, Center for Music Technology, Georgia Tech


General Chair

David Lewis, Goldsmiths University of London


Proceedings and Publicity Chair

Néstor Nápoles López, McGill University


Claire Arthur

Assistant Professor, School of Music

College of Design

Georgia Institute of Technology

Friday, March 19, 2021

[CFP] Teaching Fine Arts Online

CALL FOR PAPERS
Theme: Teaching Fine Arts Online

COVID-19 has brought an abrupt change to how we do learning across all education sectors.
Those teaching in the area of Fine Arts (e.g., music, theatre, painting, sculpture) have faced
immense challenges as they shift a predominantly face-to-face experiential and apprenticeship
model of teaching into online delivery. Many Fine Arts teachers from K to 18 have encountered
new ways that technology enables their students to explore their art in a new way as well as
through new online teaching approaches.
For an upcoming issue in IJOIE, we are seeking articles that explore ways in which the Fine Arts
have shifted into online delivery. Topics for this theme include:
• Successful models for engaging Fine Arts students online;
• Specific software and/or apps that help facilitate Fine Arts learning online;
• Exploration of how online learning for the Fine Arts can impact change in other
disciplines
• How to develop an online studio for Fine Arts instructors/teachers
• Effective modes of communication with Fine Arts students
• Addressing the challenge of assessment in the Fine Arts
• Other relevant areas to support innovations in online Fine Arts education
About IJOIE
Publications in IJIOE focus on the "big blue sky" questions in online education: What are those
innovative practices happening in our online classes? and What new software tools assist our
students in supporting their learning online? These are just a couple of big questions that are
necessary as society continues to use online education, especially in our COVID environment.
We have 12 discipline streams represented in our journal is published four times a year: STEM;
Artificial Intelligence; Online Innovation in the Secondary Space; Immersive Online Education;
Course Design and Development; Computer Systems and Software Development; Visual and
Performing Arts; Adaptive and Personalized Learning; Scholarship of online Teaching and
Learning (SOTL); Economics, Business and Workplace Training; Allied Health; and Online
Assessments. The journal publishes critical and timely articles on innovation in online education
that are 5,000 to 6,000 words in length.

Submission Deadline: April 20, 2021
• Full manuscripts should be 5,00 to 6,000 words in length. Longer articles are considered
on a case-by-case basis.
• Submission Guidelines: https://onlineinnovationsjournal.com/for_authors/
For more information, contact: https://onlineinnovationsjournal.com/editors/

Thursday, March 18, 2021

Fwd: [DMRN-LIST] vacancy: Research Fellow in Machine Learning for Audio Captioning at University of Surrey, UK (deadline: 8th April 2021)


Dear all, 


Apologies for cross-posting. Please feel free to circulate the following vacancy to those who might be interested. Many thanks


Research Fellow in Machine Learning for Audio Captioning 

 

Applications are invited for a Research Fellow (RF) position for 22 months within the Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, UK, to work on a project titled "Automated Captioning of Image and Audio for Visually and Hearing Impaired", which is a collaborative project between the University of Surrey and the Izmir Katip Celebi University (IKCU), Turkey, with project partners from charities and industrial sectors working with the hearing and visually impaired. This project aims to address fundamental challenges in audio and image captioning, develop new algorithms to improve performance of audio and image captioning algorithms, and application tools that could be used by the hearing and visually impaired to access audio and image content.  

 

The work at Surrey will focus on new methods and algorithms of automated audio captioning and natural language description of audio. This work is built on the significant contributions of CVSSP in the area of acoustic scene analysis, audio event detection, environmental sound recognition, and audio tagging, together with preliminary results on audio captioning. This new project offers an opportunity to take this work to the next stages, and demonstrate the benefit of such technologies for the hearing and visually impaired. A smartphone based prototype will be developed for audio and visual captioning jointly by Surrey and IKCU. New data will also be gathered, including audio-visual data for captioning, and user feedback for the prototype system.  

 

The postholder will be responsible for investigating and developing audio signal processing, machine learning algorithms for natural language description of sound, and implementing software for prototyping the concept and algorithms. The postholder should have a doctoral level (or equivalent) research and development experience in electronic engineering, applied mathematics, computer science, artificial intelligence, machine learning, natural language processing, or related subjects. The postholder should ideally have experience in one of the following areas: audio captioning, machine description of audio, audio classification, audio tagging, image captioning, video captioning, translations between audio/image and texts, and/or translation between audio and video. 

 

The post-holder will be based in CVSSP, and work under the direction of the Principal Investigator Prof Wenwu Wang, with co-supervision by Prof Sabine Braun, Director of the Centre for Translation Studies, at University of Surrey, and in collaboration with Dr Volkan Kilic, from the IKCU, Turkey. 

 
CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with over 150 researchers, a grant portfolio of £24M (£17.5M EPSRC) from EPSRC, EU, InnovateUK, charity and industry, and a turnover of £7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 120 GPUs and >1PB of high-speed secure storage. 

 

For informal inquiries, please contact Prof Wenwu Wang (Email: w.wang@surrey.ac.uk; Web: http://personal.ee.surrey.ac.uk/Personal/W.Wang/). 

 

Please apply online using the following link:  


https://jobs.surrey.ac.uk/vacancy.aspx?ref=015821 



Best wishes,
 
Wenwu