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Generation of lyrics lines conditioned on music audio clips (2009.14375v1)

Published 30 Sep 2020 in cs.CL

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.

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Authors (3)
  1. Olga Vechtomova (26 papers)
  2. Gaurav Sahu (19 papers)
  3. Dhruv Kumar (41 papers)
Citations (8)

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