  We present a system for generating novel lyrics lines conditioned on music
audio. A bimodal neural network model learns to generate lines conditioned on
any given short audio clip. The model consists of a spectrogram variational
autoencoder (VAE) and a text VAE. Both automatic and human evaluations
demonstrate effectiveness of our model in generating lines that have an
emotional impact matching a given audio clip. The system is intended to serve
as a creativity tool for songwriters.
