Automatic evaluation of singing enthusiasm for karaoke

Ryunosuke Daido, Masashi Ito, Shozo Makino, Akinori Ito

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Evaluation of singing skill is a popular function of karaoke machines. Here, we introduce a different aspect of evaluating the singing voice of an amateur singer: "singing enthusiasm". First, we investigated whether human listeners can evaluate singing enthusiasm consistently and whether the listener's perception matches the singer's intended enthusiasm. We then identified three acoustic features relevant to the perception of singing enthusiasm: A-weighted power, "fall-down", and vibrato extent. Finally, we developed a method for combining the selected three features to estimate the value of singing enthusiasm, and obtained a correlation coefficient of 0.65 between the estimated value and human evaluation.

Original languageEnglish
Pages (from-to)501-517
Number of pages17
JournalComputer Speech and Language
Volume28
Issue number2
DOIs
Publication statusPublished - 2014 Mar 1

Keywords

  • Karaoke
  • Perception of singing voice
  • Singing enthusiasm
  • Singing voice

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Human-Computer Interaction

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