Michele Mancusi

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer Music timbre transfer is a challenging task that involves modifying the timbral characteristics of an audio signal while preserving its melodic structure. In this paper, we propose a novel method base...

🎉Check out our new work on Timbre Transfer, which has been accepted at #ICASSP2025! 🎶

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer 🔥

arXiv: arxiv.org/abs/2409.06096
Demo: sony.github.io/diffusion-ti...
Code: github.com/sony/diffusi...

- COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations arxiv.org/pdf/2404.16969

- Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer: arxiv.org/abs/2409.06096

- High-Resolution Speech Restoration with Latent Diffusion Model: arxiv.org/pdf/2409.11145

🎉 Hyped that 3 of our papers are accepted at #ICASSP2025! Huge congrats to my co-authors, and thanks for their efforts! 👏

🎉 Excited to share that our paper, “COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations,” has been accepted to #ICASSP2025! 🎉
A huge thank-you to my amazing co-authors for their hard work and support. 🙌

arxiv: arxiv.org/pdf/2404.16969

Hi! I’d like to be added. Thanks!