Generation of lyrics lines conditioned on music audio clips
arXiv:2009.14375
Abstract
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.
Accepted to First Workshop on NLP for Music and Audio (NLP4MusA) at ISMIR 2020