Detection of singing mistakes from singing voice

Isao Miyagawa, Yuya Chiba, Takashi Nose, Akinori Ito

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

Abstract

We investigate a method of detecting the wrong lyrics from the singing voice. In the proposed method, we compare the input singing voice and the reference singing voice using dynamic time warping, and then observe the frame-by-frame distance to find the error location. However, the absolute value of the distance is affected by the singer individuality of the reference and input singing voice. Thus, we attempted to adapt the singer individuality into the reference singer’s one by a linear transformation. The results of the experiment showed that we could detect the wrong lyrics with high accuracy when the different part of the lyrics was long. In addition, we investigated the effect of iterative linear transformation, and we could not find any benefit from the second or third linear transformations.

Original languageEnglish
Title of host publicationAdvances in Intelligent Information Hiding and Multimedia Signal Processing - Proceedings of the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing,
EditorsJunzo Watada, Lakhmi C. Jain, Jeng-Shyang Pan, Pei-Wei Tsai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages130-136
Number of pages7
ISBN (Print)9783319638584
DOIs
Publication statusPublished - 2018
Event13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017 - Matsue, Shimane, Japan
Duration: 2017 Aug 122017 Aug 15

Publication series

NameSmart Innovation, Systems and Technologies
Volume82
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017
Country/TerritoryJapan
CityMatsue, Shimane
Period17/8/1217/8/15

Keywords

  • Dynamic time warping
  • Lyrics mistake
  • Singing voice

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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