1 code implementation • 11 Oct 2023 • Josh Gardner, Simon Durand, Daniel Stoller, Rachel M. Bittner
Music has a unique and complex structure which is challenging for both expert humans and existing AI systems to understand, and presents unique challenges relative to other forms of audio.
1 code implementation • 13 Jun 2023 • Simon Durand, Daniel Stoller, Sebastian Ewert
This way, we obtain a novel system that is simple to train end-to-end, can make use of weakly annotated training data, jointly learns a powerful text model, and is tailored to alignment.
1 code implementation • 5 Aug 2020 • Gabriel Meseguer-Brocal, Rachel Bittner, Simon Durand, Brian Brost
We propose a novel data cleansing model for time-varying, structured labels which exploits the local structure of the labels, and demonstrate its usefulness for vocal note event annotations in music.
no code implementations • 24 Jul 2020 • Sanna Wager, Keunwoo Choi, Simon Durand
The purpose of speech dereverberation is to remove quality-degrading effects of a time-invariant impulse response filter from the signal.
2 code implementations • 18 Feb 2019 • Daniel Stoller, Simon Durand, Sebastian Ewert
Time-aligned lyrics can enrich the music listening experience by enabling karaoke, text-based song retrieval and intra-song navigation, and other applications.