ICASSP 2021: accepted papers

These are the papers we will be presenting at ICASSP 2021:

  • Xiaoyu Liu, Jordi Pons. On permutation invariant training for speech source separation. [arxiv]
  • Daniel Arteaga, Jordi Pons. Multichannel-based learning for audio object extraction. [arxiv]
  • Jordi Pons, Santiago Pascual, Giulio Cengarle, Joan Serrà. Upsampling artifacts in neural audio synthesis. [arXiv, code]
  • Christian J Steinmetz, Jordi Pons, Santiago Pascual, Joan Serrà. Automatic multitrack mixing with a differentiable mixing console of neural audio effects. [arXiv, demo]
  • Joan Serrà, Jordi Pons, Santiago Pascual. SESQA: semi-supervised learning for speech quality assessment. [arXiv]

Infinite thanks to all my collaborators for the amazing work 🙂

My favourite ISMIR 2019 papers!

This year’s ISMIR was in Delft, the Netherlands. It seems like the community is starting to realise that the technologies developed by the ISMIR community can have an impact to our society – because they are starting to work! During the first days of the conference, many conversations were focusing on exploring ways to positively impact society. On the other side, technology-wise, we have seen (i) many people studying how to use musical domain knowledge to disentangle/structure/learn useful neural representations for many music applications, and (ii) many attention-based neural architectures.

Continue reading