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

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