As the accuracy of lyrics segmentation in state of the art is not fully satisfying yet (Watanabe et al., 2016), and given the variability in the set of structure types provided in the literature according to different genres (Tagg, 1982;Brackett, 1995), rare attempts have been made to achieve semantic labeling.
in our work, we focus on improving the state of the art in lyrics segmentation, leaving the task of semantic labeling for future work.