Francisco Messina, Francesca Ronchini, Luca Comanducci, Paolo Bestagini, Fabio Antonacci, "Mitigating data replication in text-to-audio generative diffusion models through anti-memorization guidance," https://t.co/FHE9sxSqFt
Energy consumption of 7 text-to-audio diffusion models was analyzed, identifying the trade-off between audio quality and energy usage at inference time by finding Pareto-optimal solutions.
I find the https://t.co/W3pFtljxGq lab information is not always up-to-date, so I decide to run a new COMPLETE list of MIR labs.
Features (goals):
⭐️ Research topics
⭐️ PI, active students & alnumi
⭐️ Distinguish active & inactive labs
⭐️ Map view
https://t.co/LjJzS6ozIF
🌟The IEEE Signal Processing Society (SPS) is proud to announce the 2024 class of SPS Scholarship recipients!
🌟Read about their expressed interest and commitment to pursuing signal processing education and real-world career experiences at https://t.co/FeDvIihcSg.
In this study, we explore how text-to-audio models can generate #synthetic#datasets to train data-driven sound recognition models.
Check out the study, results, and conclusions in the article! If you have questions, feedback, or want to discuss this further, reach out!
I have shared our latest research, "Synthetic Training Set Generation Using #TextToAudio Models for Environmental #Sound Classification" at #DCASE2024 in Tokyo last month!
📝 Article: https://t.co/SiYGBtbg5E
🔸 Slides: https://t.co/Y8wPiWFJBA
📢 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 💫
``PAGURI: a user experience study of creative interaction with text-to-music models,'' Francesca Ronchini, Luca Comanducci, Gabriele Perego, Fabio Antonacci, https://t.co/nNapMjgoTi
We’re excited to share that Repertorium project members @FraRonchini, @LucaComan, Fabio Antonacci and @M_Pexx from @polimi are presenting their latest research at the European Signal Processing Conference (EUSIPCO), currently taking place in Lyon!
https://t.co/bwpkhgtgak
Our paper “Room Transfer Function Reconstruction Using #Complex-#Valued#Neural#Networks and Irregularly Distributed Microphones” will be presented at #EUSIPCO2024!
I won't be able to attend but DM me if you want to know more!
Preprint 👉 https://t.co/SOBtzDFsZ4
📢Job opening: Research Assistant / Postdoctoral Research Assistant in music information research @c4dm@QMEECS on a project funded by @innovateuk
Closing date: 31 August 2024 - more info: https://t.co/c73Cmo4gfO
Additionally, I will present the results of a #human-#centered#Music#Information#Retrieval (MIR) study aimed at understanding how text-to-music generative models can be practically integrated into the artistic practices of musicians and music professionals.
(2/n)
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