title: Multilingual lyrics-to-audio alignment
abstract: Lyrics-to-audio alignment methods have recently reported impressive results, opening the door to practical applications such as karaoke and within song navigation. However, most studies focus on a single language - usually English - for which annotated data are abundant. The question of their ability to generalize to other languages, especially in low (or even zero) training resource scenarios has been so far left unexplored. In this paper, we address the lyrics-to-audio alignment task in a gene
journal: Zenodo (CERN European Organization for Nuclear Research)