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ISCApad Archive  »  2024  »  ISCApad #312  »  Events  »  Other Events  »  (2024-09-18) Special Session on' Content based Indexing for audio and music: from analysis to synthesis' @ CBMI 2024 , Reykjavik, Iceland.

ISCApad #312

Friday, June 07, 2024 by Chris Wellekens

3-3-14 (2024-09-18) Special Session on' Content based Indexing for audio and music: from analysis to synthesis' @ CBMI 2024 , Reykjavik, Iceland.
  

The 21st International Conference on Content-based Multimedia Indexing (CBMI 2024) takes place September 18-20 in Reykjavik, Iceland.


We are delighted to have, as part of the conference, a Special Session on Audio entitled: Content based Indexing for audio and music: from analysis to synthesis 


Abstract: Audio has long been a key component of multimedia research. As far as indexing is concerned, the research and industrial context has changed drastically in the last 20 years or so. Today, applications of audio indexing range from karaoke applications to singing voice synthesis and creative audio design. This special session aims at bringing together researchers that aim at proposing new tools or paradigms to investigate audio and music processing in the context of indexation and corpus-based generation.


You are kindly encouraged to submit a paper related to the topic of the special session according to the CBMI guidelines : 

  • Regular full papers: 6 pages, plus additional pages for the list of references

  • Regular short papers: 4 pages, plus additional pages for the list of references


Important dates

  • March 22: Regular and special session paper submissions

  • June 3: Notification of acceptance 

  • Early July: Camera ready version of accepted papers



As of now, we already have 3 invited talks addressing the following topics : 

  • Cynthia C. S. Liem, Doğa Taşcılar, and Andrew M. Demetriou A quest through interconnected datasets: lessons from highly-cited ICASSP papers

  • Rémi Mignot, Geoffroy Peeters Learning invariance to sound modifications for music indexing and alignment

  • Cyrus Vahidi Large-scale music indexing for multimodal similarity search


Please join us in Reykjavik !!


Kindly yours,

François Pachet and Mathieu Lagrange

contact us: mathieu lagrange ls2n fr



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