LJSing: large-scale singing voice corpus of single Japanese singer

Takuto Fujimura, Takashi Nose, Akinori Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the construction of the LJSing, a large-scale Japanese singing voice corpus by a single female singer for singing voice synthesis based on statistical methods. Singing voice synthesis systems based on machine learning have been widely studied. However, most Japanese singing voice corpora are not enough for the training of recent deep-learningbased synthesis. Furthermore, those corpora were designed without phonetic and prosodic balance. Therefore, we recorded and labeled a five-hour phonetically and prosodically balanced singing corpus sung by a Japanese singer. The corpus consists of two data sets, SongSet and PhraseSet, which are constructed based on songs and phrases, respectively.

Original languageEnglish
Title of host publication2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages364-365
Number of pages2
ISBN (Electronic)9781728198026
DOIs
Publication statusPublished - 2020 Oct 13
Event9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan
Duration: 2020 Oct 132020 Oct 16

Publication series

Name2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference9th IEEE Global Conference on Consumer Electronics, GCCE 2020
CountryJapan
CityKobe
Period20/10/1320/10/16

Keywords

  • Context balance
  • Deep learning
  • Singing voice corpus
  • Singing voice synthesis

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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