%0 Conference Proceedings %T A Melody-Conditioned Lyrics Language Model %A Watanabe, Kento %A Matsubayashi, Yuichiroh %A Fukayama, Satoru %A Goto, Masataka %A Inui, Kentaro %A Nakano, Tomoyasu %Y Walker, Marilyn %Y Ji, Heng %Y Stent, Amanda %S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) %D 2018 %8 June %I Association for Computational Linguistics %C New Orleans, Louisiana %F watanabe-etal-2018-melody %X This paper presents a novel, data-driven language model that produces entire lyrics for a given input melody. Previously proposed models for lyrics generation suffer from the inability of capturing the relationship between lyrics and melody partly due to the unavailability of lyrics-melody aligned data. In this study, we first propose a new practical method for creating a large collection of lyrics-melody aligned data and then create a collection of 1,000 lyrics-melody pairs augmented with precise syllable-note alignments and word/sentence/paragraph boundaries. We then provide a quantitative analysis of the correlation between word/sentence/paragraph boundaries in lyrics and melodies. We then propose an RNN-based lyrics language model conditioned on a featurized melody. Experimental results show that the proposed model generates fluent lyrics while maintaining the compatibility between boundaries of lyrics and melody structures. %R 10.18653/v1/N18-1015 %U https://aclanthology.org/N18-1015 %U https://doi.org/10.18653/v1/N18-1015 %P 163-172