📢 New preprint version of "Transparency in Music-Generative AI: A Systematic Literature Review" is out!
We now analyse 107 publications in a two-stage review, uncovering gaps in transparency for genAI in music. Jump to section 5.2 for TL;DR ✨
https://t.co/kQm2v2o3GN
tomorrow i’ll be presenting at @ISMIRConf for the first time! 💫
i’ll be sharing our work on data replication assessment in AI gen music and introducing MiRA 👀
#ismir2024
We are more than open to contributions! Feel free to get in touch if you want to make this initiative to grow bigger. We've also updated to documentation with all the improvements for v0.4.0: https://t.co/brBGETch7n
We will present some of the tools and datasets in compIAM today at the ISMIR Conf. within the context of our TISMIR work: Repertoire-Specific Vocal Pitch Data Generation for Improved Melodic Analysis of Carnatic Music. Big thanks to all co-authors❤️
🔊🎶 MIR folks, mirdata 0.3.9 is out‼️ @ISMIRConf#ISMIR2024
6 new loaders, for a total of 58 dataset loaders!
This time, we made mirdata MUCH lighter!
Install Time: 50.6s ⏩slashed by 31% to 34.6s
Size: 95MB ⏬ shrunk by 98% to 1.9MB!!
Datasets: https://t.co/x4VnmxOlNa
📢 Call to all #MIRCommunity!
Have you ever wondered what an open model means? Help us shape the definition of open models in generative AI for music by taking our survey — just 10 minutes!
👉 https://t.co/PBGS7IsSxz
thank you 💫
happy to announce that MiRA is out!💫
MiRA (Music Replication Assessment) is an open model-independent tool to assess audio data replication of the training set 🎶🔧🤖👀
installable as a PyPI package 🎁
https://t.co/92QqAs6fd9
We are happy to announce the publication of our latest paper in @JOSS_TheOJ presenting Soundata, a library for working with audio datasets in a standarized way + today's presentation by @genisplaja of Soundata at @ecoacoustics24 congress! https://t.co/1ArRIWosny
Special Collection "Cultural Diversity in MIR Research".
The Editorial by Zhiyao Duan, @pvankranenburg, @juhan_nam and Preeti Rao has just been published. Continues the effort initiated in ISMIR 2021.
https://t.co/XQJWnGPjVd
Since we’ve had really cool software releases and upgrades during @ISMIRConf this year, why not having one more? :) We just released compiam v0.3.0, including multiple improvements and new features!
compiam is open to contributions, new datasets, and models. Thanks to mirdata v0.3.8 we do now have easy and standardized access to 10 Indian Art Music datasets. Let’s keep it growing :)