In this paper, we present a novel cover detection approach leveraging lyrics information extracted from audio. We use as Singing Voice Recognition system to extract automatically a lyrics transcripts from the audio and Cover detection is then framed as a noisy text-matching task between obtained transcripts.
As songs may not contain lyrics we complement this lyrics-based cover detection system with a more classic tonal-based method.
We show extensive empirical evidence that lyrics information can significantly help cover detection and that both lyrics and tonal information are complementary for this task.
![Cover detection system leveraging lyrics](https://research.deezer.com/static/images/publis/vaglio21ismir/cover_detection_system.png)
This paper has been accepted for publication in the proceedings of the International Society for Music Information Retrieval Conference (ISMIR 2021).