TISMIR journal
@TismirJTransactions of the International Society for Music Information Retrieval (TISMIR). Official twitter account.
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NEW: Research article by Isabella Czedik-Eysenberg @OliverWieczorek Arthur Flexer & Christoph Reuter: "Charting the Universe of Metal Music Lyrics and Analyzing Their Relation to Perceived Audio Hardness", via a topic model based on 124,288 song lyrics. transactions.ismir.net/articles/10.53…
We hope our study can help alleviate data annotation bottlenecks, especially in the case of culture-specific datasets, and ultimately help build a more culturally diverse perspective in the field of Music Information Retrieval.
Our experiments highlight the importance of carefully selecting the training data for deep-learning-based beat-tracking models in few data scenarios, and our suggested framework shows better results 📈 when compared to random data selection 📉
Our framework consists of extracting a rhythmic feature from each track and applying selection methods that exploit the internal distribution of the data while leveraging representativeness and diversity. The selection process is subject to a user-informed annotation budget.
We propose a methodology for selectively annotating a small subset of meaningful samples with the objective of training a state-of-the-art beat tracker.
We showcase our pipeline with recordings of Samba 🇧🇷 and Candombe 🇺🇾.
We explore the problem of annotation in culture-specific datasets, building upon our previous research: 📜 ISMIR 2022 (@ISMIRConf): zenodo.org/records/7385261 which showed that SOTA beat trackers yield good results with few training points provided that the dataset is homogeneous.
🎉 Exciting news! Our latest article on beat tracking with few data has been published in the TISMIR journal (@TismirJ)! 📜 article: transactions.ismir.net/articles/10.53… 💻 code: github.com/maia-ls/tismir…
NEW: Research paper by @lsimoesmaia @martinr0camora Luiz W. P. Biscainho and @mfu3ntes: "Selective Annotation of Few Data for Beat Tracking of Latin American Music Using Rhythmic Features" based on rhythmic feature and constrained selection methods. transactions.ismir.net/articles/10.53…
NEW: Research paper by @lsimoesmaia @martinr0camora Luiz W. P. Biscainho and @mfu3ntes: "Selective Annotation of Few Data for Beat Tracking of Latin American Music Using Rhythmic Features" based on rhythmic feature and constrained selection methods. transactions.ismir.net/articles/10.53…
On music AI and education - a great read🔥
NEW: "Introducing the TISMIR Education Track: What, Why, How?" The Education Track has a focus on tutorial-style delivery and an emphasis on existing MIR research methods, techniques, principles, and practical matters relevant to the MIR community. transactions.ismir.net/articles/10.53…
NEW: "Introducing the TISMIR Education Track: What, Why, How?" The Education Track has a focus on tutorial-style delivery and an emphasis on existing MIR research methods, techniques, principles, and practical matters relevant to the MIR community. transactions.ismir.net/articles/10.53…
If you wish to familiarize yourself with recent strong models for sound separation, look into our jounals @TismirJ that just came out this week Those are reports on the Sound Demixing Challenge 2023 where I served as the general chair Music Track: transactions.ismir.net/articles/10.53……
We are happy to announce that our two papers summarizing the Sound Demixing Challenge 2023 have been published in @TismirJ ! Thank you to everyone for their hard work! Music Track: transactions.ismir.net/articles/10.53… Cinematic Track: transactions.ismir.net/articles/10.53…
We are happy to announce that our two papers summarizing the Sound Demixing Challenge 2023 have been published in @TismirJ ! Thank you to everyone for their hard work! Music Track: transactions.ismir.net/articles/10.53… Cinematic Track: transactions.ismir.net/articles/10.53…
NEW: Overview article by @GioFabbro and 26 co-authors (@JCJesseLai @WOOSUNGCHOI3 @marcoamaram @geraldoramos @honualx @__dipam__ @MeMohanty @naba89 @ttyharada @Davidliujiafeng…): "The Sound Demixing Challenge 2023 – Music Demixing Track" @sounddemix transactions.ismir.net/articles/10.53…
NEW: Overview article by Stefan Uhlich and 16 co-authors (@GioFabbro @JonathanLeRoux @__dipam__ @MeMohanty @cs_kai_li @mittu1204…) "The Sound Demixing Challenge 2023 – Cinematic Demixing Track" @sounddemix: setup, structure of the competition, datasets… transactions.ismir.net/articles/10.53…
NEW: Dataset paper by Simon Schwär, Michael Krause, Michael Fast @s_rosen2g Frank Scherbaum and Meinard Müller: "A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction": 4h of pop with guitar + differentiable SP source/filter method. transactions.ismir.net/articles/10.53…
Call for Papers for a special collection on Multi-Modal Music Information Retrieval with deadline August 1st. We particularly encourage under-explored repertoire, new connections between fields, and novel research areas. account.transactions.ismir.net/index.php/up-j…
Congratulations to Kristina Matrosova, Manuel Moussallam, Thomas Louail, and Olivier Bodini for their paper "Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences" published in @TismirJ! 👏 Paper link: transactions.ismir.net/articles/10.53…
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Who to follow
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ISMIR Conference
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Stefan Lattner
@deeplearnmusic -
Javier Nistal
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MTG-UPF
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Justin Salamon
@justin_salamon -
C4DM at QMUL
@c4dm -
Eduardo Fonseca
@edfonseca_ -
Oriol (Uri) Nieto
@urinieto -
Carl Thomé
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