Francesca Ronchini

Francisco Messina, Francesca Ronchini, Luca Comanducci, Paolo Bestagini, Fabio Antonacci, "Mitigating data replication in text-to-audio generative diffusion models through anti-memorization guidance," arxiv.org/abs/2509.14934

Happy to be back 👋🏻 #RolandGarros

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.

``TACOS: Temporally-aligned Audio CaptiOnS for Language-Audio Pretraining,'' Paul Primus, Florian Schmid, Gerhard Widmer, ift.tt/NiCDlUQ

The tasks for DCASE challenge 2025 have been announced. dcase.community/articles/chall… Stay tuned for more details.

I find the ismir.net 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 github.com/ldzhangyx/awes…

I am so grateful and honored to receive this grant! Thanks for the trust!

It’s time for @milanomusicweek and @linecheck_it! I’ll be hosting a hands-on workshop on gender-friendly music recommendation systems! 🎶Join us to help shape a more #inclusive #music #industry 👉 shorturl.at/D6wfr #DiversityInMusic #InclusiveTech

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: shorturl.at/0KW55 🔸 Slides: shorturl.at/oK0tP

📢 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! 👉 forms.gle/Z48t6HPBXwWC3r… thank you 💫

``MambaFoley: Foley Sound Generation using Selective State-Space Models,'' Marco Furio Colombo, Francesca Ronchini, Luca Comanducci, Fabio Antonacci, ift.tt/dh1eEBF

``PAGURI: a user experience study of creative interaction with text-to-music models,'' Francesca Ronchini, Luca Comanducci, Gabriele Perego, Fabio Antonacci, ift.tt/oLctA24

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! repertorium.eu/dissemination/

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 👉 shorturl.at/MW8JZv

📢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: qmul-jobs.tal.net/vx/mobile-0/ap…

Always happy and open to chat more, so DM me in case you have any questions or like to discuss it further!

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)

Today I will present part of my research at #Deep #Learning for #MIR workshop series at CCRMA @Stanford 👉 shorturl.at/ssBJY The talk will focus on #opportunities and #challenges of incorporating #text-#to-#music #generative #models into music production practices. (1/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 🎁 github.com/roserbatlleroc…