Fwd: 'Borderlands: Classical Music and Society' symposium

The Maastricht Centre for the Innovation of Classical Music (MCICM) will host its next symposium on 21 and 22 April 2022. The symposium titled 'Borderlands: Classical Music and Society' seeks to critically examine the area of interaction between classical music and society, exploring initiatives that seek to blur the traditional borders of classical music practice, while also discussing how such borders are still rigorously policed in certain circumstances.

Borderlands: Classical Music and Society
Dates: 21-22 April 2022
Online Symposium
For the full program and registration, please visit www.mcicm.nl

We would very much appreciate it if you would share this information in your network. If you have any questions, please contact mcicm-fasos@maastrichtuniversity.nl.

Fwd: Monday 28/3 4pm - music-data seminar

(with apologies if you already received the message). 

The next virtual seminar of the 'Datasounds, datasets and datasense: Unboxing the hidden layers between musical data, knowledge and creativity' research network will take place virtually next Monday, 4pm UK time. Our guest speaker - Blair Kaneshiro - comes from Stanford, California: 

"The Music Engagement Research Initiative is an interdisciplinary research group at CCRMA, Stanford University. Through various approaches including EEG studies, mixed-methods user research, accessibility research, and analysis of industrial data, we seek to increase our understanding of how and why humans engage with music. I will speak about our group's research and teaching efforts around data publication and re-use. Over recent years, we have come to treat data not only as a by-product of music science research, but also as intentional scientific contributions that can be used by others. I will discuss how such efforts by the scientific community can not only support reproducible research, but also facilitate new discoveries through improved access across research fields."

Contact me (o.ben-tal@kingston.ac.uk) if you with to join the seminar.

Fwd: [DMRN-LIST] Deadline Extended - CFP: EURASIP JASMP - Special Issue on Recent Advances in Computational Sound Scene Analysis

EURASIP Journal on Audio, Speech and Music Processing

Special issue on
Recent advances in computational sound scene analysis
Deadline extended to: 16th April 2022
https://asmp-eurasipjournals.springeropen.com/ssoundscene
 
Topics of interest include but are not limited to:

• Methodology: signal processing, machine learning, auditory perception, taxonomies, and ontologies related to sound scenes and events
• Tasks and applications: acoustic scene classification, sound event detection and localization, sound source separation, audio tagging, audio captioning, detection of rare sound events, anomaly audio event detection, computational bioacoustic scene analysis, urban soundscape analysis, and cross-modal analysis (e.g. audio recognition/analysis with information from video, texts, image, language, etc.)
• Machine learning methodologies for sound scene analysis: self-supervised learning, few-shot learning, meta-learning, generative models, explainable machine learning, continual learning, curriculum learning, active learning, multi-task learning, and attention mechanisms
• Human-centered sound scene analysis: human-computer interaction and interfaces, user-centered evaluation, visualization of audio events and scenes, and user annotation
• Evaluation, datasets, software tools, and reproducibility in computational sound scene and event analysis
• Ethics and policy: legal and societal aspects of computational sound scene analysis; ethical and privacy issues related to designing, implementing and deploying sound scene analysis systems; privacy-preserving sound scene analysis; federated learning for sound scene analysis
• Performance metrics: studies for developing effective evaluation metrics and tools for related tasks in audio scene analysis, event detection, and audio tagging
  

The EURASIP Journal on Audio, Speech, and Music Processing recognizes novel contributions of the following types within its area:

• Empirical Research: Data-driven research, new experimental results, and new data sets
• Methodology: New theory and methods for the processing of speech, audio, and music signals
• Software: New software implementations and toolboxes for speech, audio, and music processing
• Review: Timely and comprehensive overview and tutorial material covering recent developments within the field
  

Submission instructions:
https://asmp-eurasipjournals.springeropen.com/submission-guidelines


Guest Editors:
Jakob Abeßer, Fraunhofer IDMT, Germany
Emmanouil Benetos, Queen Mary University of London, UK
Annamaria Mesaros, Tampere University, Finland
Wenwu Wang, University of Surrey, UK

Fwd: [DMRN-LIST] 6 month Postdoc Research Position in Dynamical Complexity for Ecoacoustics. Deadline 29.03 starts 01.05.2022

Dear all,

Applications are now open for a 6 month research position for an excellent post-doctoral candidate with strong computational skills and experience in DSP/ complexity science

Please pass on to any potential candidates

For further information and to apply: https://www.sussex.ac.uk/about/jobs/research-fell-comp-eco-7983

Key facts:

When: deadline Mar 29. 2022. Project runs May 2022 - Oct 2022
Where: Department of Informatics/ Sussex Humanities Lab
Who: PI Alice Eldridge with Adam Barrett, Anil Seth, Ivor Simpson and Chris Kiefer
What: EPSRC/ UK Acoustics Network Plus funded pilot: Toward a Measure of Soundscape Dynamical Acoustic Complexity using Causal Analysis and AI
An opportunity to work at bleeding edge of new project with high potential environmental impact with interdisciplinary team of investigators.
The Job advert will be live shortly but we are happy to hear from potentially interested candidates with any questions.
 
A full time, 6 month Postdoctoral Research Fellow position is available to work at the forefront of Computational Ecoacoustics as part of a pilot project investigating the potential for dynamical complexity metrics in the ecological assessment of natural soundscapes. The exploratory nature of this project offers the opportunity to have strong creative input, and – if successful - the project has the potential to develop into a major research endeavor in the future.
 
 
Context: Monitoring, understanding, and predicting the integrity of our planetary biosphere is the most critical sustainability issue of our time. The emerging science of ecoacoustics points to the exciting possibility that eavesdropping on ecosystems can provide a cost-effective solution. The soundscape is a highly dynamic pattern of acoustic energy, which emerges from the interaction of the sounds of organisms, geophysical and technological processes. Current approaches in computational ecoaoustics are extremely simple, precluding investigation of these rich spatio-temporal dynamics, and how they may relate to ecosystem health and integrity. However, emerging methods in complexity science point to exciting new possibilities.  
 
Your role: You will bring strong mathematics and computing skills and a rigorous, experimental approach to a multidisciplinary team of pioneering researchers across ecoacoustics, complexity science, neuroscience, AI and music to investigate the potential of new and emerging information-theoretic complexity measures as new acoustic ecological assessment tools for applied conservation.
 
Working on the EPSRC-funded pilot project "Toward a Measure of Soundscape Dynamical Acoustic Complexity using Causal Analysis and AI", you will collaborate with the research team to carry out pioneering research and co-author high quality peer reviewed publications.
 
Situated within a world-leading research environment of the AI Research Group in the school of Engineering and Informatics at the University of Sussex, you will have ample opportunities to engage with and contribute to a vibrant research environment nourished by activities of groups including the Sackler Centre for Consciousness Science, the Predictive Analytics Lab and the Sussex Humanities lab.
 
For an informal discussion of the post, please contact Alice Eldridge, Reader in Sonic Systems, in the first instance by email at: alicee@sussex.ac.uk
 

Fwd: 'Music, Power, and Decolonization in Jamaica', and UCL Chamber Music Club

Dear friends and followers of Music Futures,

 

Some of you may be interested in the following event, which looks at the 1970s, the decade Jamaican music broke into the mainstream, and specifically three moments in the life of Jamaican legend, Bob Marley. 

 

ONLINE Bob's Back From London: Music, Power, and Decolonization in Jamaica

25 May 2022, 5:30 pm–7:00 pm

Online, via Zoom, with Prof Matthew J. Smith (UCL History)

https://www.ucl.ac.uk/institute-of-advanced-studies/events/2022/may/online-bobs-back-london-music-power-and-decolonization-jamaica

 

Also, for anyone who isn't already aware, we would just like to mention that UCL has a Chamber Music Club; you can read more and book tickets via their website: https://www.ucl.ac.uk/chamber-music/

 

With best wishes,

Lucy

 

--------------------------------------------

Lucy Stagg

Research Centres Coordinator

Institute of Advanced Studies: www.ucl.ac.uk/institute-of-advanced-studies/

 

In the office (G18, South Wing) Mon & Fri, 10:00-16:30

Working from home,Tue-Thu, 11:00-14:30

lucy.stagg@ucl.ac.uk, +44 20 7679 1365

-------------------------------------------

 

Fwd: [DMRN-LIST] Job opening: Research Assistant / Postdoctoral Research Assistant in machine learning and music, QMUL

Dear all, (with apologies for cross-posting)

We are recruiting for a Research Assistant / Postdoctoral Research Assistant in machine learning and music, as part of the project "Deep Learning Technologies for Multi-instrument Automatic Music Transcription". This is a 16-month position and the closing date for applications is 20 March. Please forward the information below to any colleagues who may be interested - further information can be found below.

---

Research Assistant or Postdoctoral Research Assistant

School of EECS, Queen Mary University of London, UK
Annual Salary: 32,087-33,824 GBP (Research Assistant), 34,733-38,655 GBP (Postdoctoral Research Assistant)
Closing Date: 20 March 2022

https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.qmul.ac.uk%2Fjobs%2Fvacancies%2Fitems%2F6722.html&data=04%7C01%7Ce.himonides%40UCL.AC.UK%7C2318b433df974021b38308d9f6c49760%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637812147088604226%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=t19Xnj8Zmb9GB0CI5ba%2BHgj4Jnnxow06CZJbnIHpOdU%3D&reserved=0

We are looking to appoint a Research Assistant or Postdoctoral Research Assistant in machine learning and music to work on the project "Deep Learning Technologies for Multi-instrument Automatic Music Transcription". The role involves investigating, developing and evaluating deep learning technologies for multiple-instrument automatic music transcription.

Applicants must hold a degree (PhD for postdoctoral level) in Computer Science, Electric/Electronic Engineering, Physics, or a related field. Able to work both independently and as part of a team, applicants will have experience with deep learning methods, music information retrieval or audio/speech processing together with strong programming skills in Python. Applicants should have experience with conducting research, understanding the research process and summarising findings.

We offer competitive salaries, pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme, staff networks and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

The post is based at the Mile End Campus in London. It is a full-time, fixed term appointment for 16 months, with an expected start date in April 2022. For a Research Assistant the annual starting salary will be in the range of £32,087-£33,824; for a Postdoctoral Research Assistant it will be £34,733-£38,655. Salaries are inclusive of London allowance.

Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.

Informal enquiries should be addressed to Emmanouil Benetos at emmanouil.benetos@qmul.ac.uk.  Details about the School can be found at https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.eecs.qmul.ac.uk%2F&data=04%7C01%7Ce.himonides%40UCL.AC.UK%7C2318b433df974021b38308d9f6c49760%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637812147088604226%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=qWVcBqLCnrga1sPlcfnxh%2FI3wszGoBXhu2nbZh%2BtGxQ%3D&reserved=0.

--
Dr Emmanouil Benetos
Senior Lecturer | Queen Mary University of London
Turing Fellow | The Alan Turing Institute
T + 44 (0) 20 7882 6206
emmanouil.benetos@qmul.ac.uk
https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.eecs.qmul.ac.uk%2F~emmanouilb%2F&data=04%7C01%7Ce.himonides%40UCL.AC.UK%7C2318b433df974021b38308d9f6c49760%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637812147088604226%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=9oMWdoV5u0CIWl%2Bo%2FRNsQPIq%2Bag05brArm6%2Fsva4TCc%3D&reserved=0

Fwd: music-data seminar Thursday 3/3

Our second seminar is in two weeks - Thursday 3/3 at 4pm. Email o.ben-tal@kingston.ac.uk if you wish to join.

Human Learning x Machine Learning

Atau Tanaka

Goldsmiths / Bristol Interaction Group / Maison des Sciences de l'Homme Paris Nord

I describe embodied musical performance in interaction with AI technologies. Performer gesture measured through muscle sensing is mapped to sonic granular synthesis through the mediation of  a neural network. The concert performance begins with an empty dataset - a tabula rasa. The composition consists of associating a series of corporeal postures with sonic grains. The signal feature space describing these body states are associated to corresponding audio meta-data and a training set is built up live in performance. Machine learning processes are laid bare in the performance dramaturgy, starting with empty data sets, finishing with trained regression models that create a multidimensional gesture-timbre information space. As much as the machine learns the states of the body it is trained on, the human performer learns the musical space created by the neural network, performing through at times unexpected mappings.

               
___________________________________________________
Dr. Oded Ben-Tal
Senior Lecturer, Music Technology
Kingston University

PI Datasounds, datasets and datasense research network (2022/23)
http://obental.wixsite.com/main
http://soundcloud.com/odedbental

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ID: 91834177970, passcode: 377186 

Oded & Federico

Fwd: CFP: Digital Libraries for Musicology '22

CFP: 9th International Conference on Digital Libraries for Musicology (In Association with IAML 2022), July 28-29, 2022, Prague    CALL FOR PAPERS AND POSTERS    DLfM 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).    The conference this year will welcome papers related to the 'FAIR principles' in Digital Libraries for Musicology and covering topics associated to making data - but also tools and services - findable, accessible, interoperable and reusable. In a world where technologies rapidly multiply, and where user needs and expectations as well as digital risks change extremely quickly, we consider these principles to be essential in the development of digital libraries tailored to musicology research. What tools, practices, or perspectives can help us navigate these constantly fluctuating needs and technologies while still prioritizing accessibility and sustainability?    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.    Proceedings of the DLfM 2022 are expected to be published in ACM ICPS as an Open Access publication as in previous years. Like last year, we are fortunate that in 2022 we again will be able to offer authors an open access proceedings paper without passing on the cost to authors.     IMPORTANT DATES (AoE)    * Paper (full paper and short paper) submission deadline: Monday, March 21, 2022  * Notification of paper acceptance: Monday, May 9, 2022  * Poster submission deadline: Monday, May 23, 2022  * Camera-ready submission deadline (full and short papers): Monday, June 13, 2022  * Conference registration deadline: TBC  * Conference: Thursday-Friday, July 28-29, 2022, at the Municipal Library in Prague    SUBMISSIONS    Paper submissions    * Paper length: We invite full papers (up to 8 pages excluding references) or short papers (up to 4 pages excluding references).  * Submissions: work is submitted to DLfM via EasyChair (https://easychair.org/conferences/?conf=dlfm2022).  * Format: Submissions must be in English, formatted according to the appropriate ACM template (see template below), in PDF format, and A4 size. Authors will need to follow ACM's instructions for formatting carefully. Assistance will be provided from the proceedings chair.  * Templates: Authors must use either the LaTeX template (https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-primary.zip), the LaTeX + Overleaf template (https://www.overleaf.com/gallery/tagged/acm-official#.WOuOk2e1taQ) (use the ACM Conference Proceedings template), or the MS Word template https://www.acm.org/binaries/content/assets/publications/word_style/interim-template-style/interim-layout.docx. Historically, LaTeX versions have been easier to process into camera-ready versions. Therefore, we encourage all authors to use the LaTeX (or LaTeX + Overleaf) template if possible.  * Page limits for submitted papers apply to all text, excluding the bibliography (i.e., references can be included on pages over the specified limits).    Poster submissions    * Submission: The initial poster submission consists of an abstract which outlines both the scholarly content and broad details of the proposed layout in 500 words or fewer.  * Format: Posters will be formatted in A0 specifications. A template will be sent closer to the conference date to authors of accepted poster abstracts. All accepted posters will also be required to submit before the conference date a digital copy to be shared publicly on the conference web page.    Review and Ethics    Papers (long and short) will be double blind 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 the conference registration deadline.    DLfM conforms to the usual conventions for publication ethics. For instance, we endeavour to provide an effective double blind reviewing process that is fair to all submissions, with reviews from experts in the subject area. In turn, we expect authors to ensure anonymity in the original submission as far as practically possible, (for instance by not uploading the submission to public website and/or removing any currently public unpublished preprints while it is under review) and that submissions to DLfM are not under active consideration by another conference of journal.     Submission link: https://easychair.org/conferences/?conf=dlfm2022  Contact email: dlfm2022@easychair.org    CONTINGENCY    We recognize that even in July 2022, in-person conferencing may still not be possible given the constantly changing landscape of the pandemic, and that we may have to revert to an online-format once again.    We also recognize that the pandemic has affected people unevenly, and we will consider individual situations on a case-by-case basis. For now, please simply submit your work with the assumption that at least one author will present in person. We will endeavour to work out any issues later (for instance through a limited amount of hybrid participation where possible and absolutely necessary).    CONFERENCE ORGANISATION    Programme Chair  Laurent Pugin, RISM Digital Center / University of Bern    General Chair  Claire Arthur, Center for Music Technology, Georgia Tech    Proceedings and Publicity Chair  David John Baker, University of Amsterdam

Fwd: CFP: Computer Creativity in music performance, improvisation, composition

Computer Creativity in
music performance, improvisation, composition
aesthetics, ethics, performance practice, musical creativity

May 26 – 29, 2022, Ascea, Italy

~ call for papers ~

Computer systems have been used in some capacity within most areas of the arts. In some cases the use of computer systems in music, as well as in visual arts, provoke claims of 'computer creativity' and/or 'computational creativity'. Are such claims justified? Is the judgement of 'creativity' in a computer system a binary question, or may there be gradations? And how can such judgements be supported – by evidence, or subjective experiential narrative, or in some other manner? What are the effects of such 'computer creativity' in music and/or in other art forms on aesthetics, ethics, performance practice, musical creativity and/or other related fields? How does the inclusion of a computer system change musical performance practice? Does the inclusion of computer systems change the aesthetic result in principle, or can the listener rely on musical experience as a phenomenon? Can a computer system take ethical responsibility for its musical or artistic output? In relation to music especially: are aesthetics computable? Are ethics computable?

The XIIth International Wassard Elea Symposium, held in Ascea, Southern Italy, invites musicologists, computer scientists, musicians, philosophers and other interested parties to submit papers on the topics of this year's theme. Sessions of 90 min. include speaker, commentator and open discussion (40/20/30). Participants whose papers are accepted are expected to also prepare a commentary on another presentation at the meeting. All suitable contributions are published in our journal, Wassard Elea Rivista.

Deadline for submissions: April 20, 2022.

There is no registration fee; participants will receive details about accommodation rates in due course.

Inquiries are very welcome. Full papers (attached in Word format) should be sent directly to the organizers:
Dr. René Mogensen, Birmingham City University, UK: Rene.Mogensen@bcu.ac.uk, or
Prof. Lars Aagaard-Mogensen, Italy: wassardelea@gmail.com.

Wassard Elea
Refugium for writers, artists, composers, and scholars in Southern Italy
Wassardelea.blogspot.it

NOTICE: At this time you are additionally invited to submit chapters, original work, to the forthcoming anthology: Improvisation and Creativity: Music, Arts, and Computers. Please send works, proposals, etc., to Dr. René Mogensen, The Royal Conservatoire, Birmingham City University, UK: Rene.Mogensen@bcu.ac.uk.

Fwd: PhD Studentships for October 2022

Music@Kingston is welcoming application for studentships available through the University. The university will offer some fully funded and some partial studentships. Please see details online:

https://www.kingston.ac.uk/research/research-degrees/funding/phd-studentships-2022/

The deadline for applications is 6 March.

Don't hesitate to contact Dr. Oded Ben-Tal if you have questions o.ben-tal@kingston.ac.uk

               
___________________________________________________
Dr. Oded Ben-Tal
Senior Lecturer, Music Technology
Kingston University

PI Datasounds, datasets and datasense research network (2022/23)
http://obental.wixsite.com/main
http://soundcloud.com/odedbental