Automatic singing evaluating system based on acoustic features and rhythm

Chang Hung Lin, Yuan Shan Lee, Ming Yen Chen, Jia Ching Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper proposes an automatic singing evaluation system. The system provides the user with the score that was assessed by acoustic features and the rhythmic similarity between the original song and the user input. The assessment system is divided into two stages. In the first stage, acoustic similarities are measured by dynamic time warping (DTW). In the second stage, the rhythmic similarity is measured by analysing the optimal path of DTW by quadratic polynomial regression. Finally, the similarity of two stages is combined into one score by corresponding weights. The experimental results show the good performance for the automatic singing evaluation system.

Original languageEnglish
Title of host publicationIEEE International Conference on Orange Technologies, ICOT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages165-168
Number of pages4
ISBN (Electronic)9781479962846
DOIs
StatePublished - 12 Nov 2014
Event2014 IEEE International Conference on Orange Technologies, ICOT 2014 - Xi'an, China
Duration: 20 Sep 201423 Sep 2014

Publication series

NameIEEE International Conference on Orange Technologies, ICOT 2014

Conference

Conference2014 IEEE International Conference on Orange Technologies, ICOT 2014
Country/TerritoryChina
CityXi'an
Period20/09/1423/09/14

Keywords

  • acoustic feature
  • dynamic time warping
  • melodic similarity
  • Singing assessment
  • singing evaluating

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