Score and Lyrics-Free Singing Voice Generation

Autor:	Liu, Jen-Yu, Chen, Yu-Hua, Yeh, Yin-Cheng, Yang, Yi-Hsuan
Rok vydání:	2019
Předmět:	Computer Science - Sound Computer Science - Machine Learning Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	Generative models for singing voice have been mostly concerned with the task of ``singing voice synthesis,'' i.e., to produce singing voice waveforms given musical scores and text lyrics. In this work, we explore a novel yet challenging alternative: singing voice generation without pre-assigned scores and lyrics, in both training and inference time. In particular, we outline three such generation schemes, and propose a pipeline to tackle these new tasks. Moreover, we implement such models using generative adversarial networks and evaluate them both objectively and subjectively. Comment: Accepted by International Conference on Computational Creativity (ICCC) 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1912.11747 Zobrazit plný text záznamu View this record from Arxiv