GhostWriter: Using an LSTM for Automatic Rap Lyric Generation
Peter Potash, Alexey Romanov, Anna Rumshisky · 2015
This paper demonstrates the effectiveness of a Long Short-Term Memory language model in our initial efforts to generate unconstrained rap lyrics.The goal of this model is to generate lyrics that are similar in style to that of a given rapper, but not identical to existing lyrics: this is the task of ghostwriting.Unlike previous work, which defines explicit templates for lyric generation, our model defines its own rhyme scheme, line length, and verse length.Our experiments show that a Long Short-Term Memory language model produces better "ghostwritten" lyrics than a baseline model.