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Youling: an AI-Assisted Lyrics Creation System

Authors :
Zhang, Rongsheng
Mao, Xiaoxi
Li, Le
Jiang, Lin
Chen, Lin
Hu, Zhiwei
Xi, Yadong
Fan, Changjie
Huang, Minlie
Publication Year :
2022

Abstract

Recently, a variety of neural models have been proposed for lyrics generation. However, most previous work completes the generation process in a single pass with little human intervention. We believe that lyrics creation is a creative process with human intelligence centered. AI should play a role as an assistant in the lyrics creation process, where human interactions are crucial for high-quality creation. This paper demonstrates \textit{Youling}, an AI-assisted lyrics creation system, designed to collaborate with music creators. In the lyrics generation process, \textit{Youling} supports traditional one pass full-text generation mode as well as an interactive generation mode, which allows users to select the satisfactory sentences from generated candidates conditioned on preceding context. The system also provides a revision module which enables users to revise undesired sentences or words of lyrics repeatedly. Besides, \textit{Youling} allows users to use multifaceted attributes to control the content and format of generated lyrics. The demo video of the system is available at https://youtu.be/DFeNpHk0pm4.<br />Comment: accept by emnlp2020 demo track

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2201.06724
Document Type :
Working Paper