Intelligent Query by Humming system

Gi Pyo Nam, Kang Ryoung Park, Soek Pil Lee, Eui Chul Lee, Moo Young Kim, Kichul Kim

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

1 Scopus citations

Abstract

This research proposes new system which finds the music by using Query-by-Humming (QBH). For finding a stored music, the features of humming data are selected by using G.729 feature extractor. We normalize the extracted features by using mean-shifting, median filtering, average filtering and min-max scaling methods. Then the corresponding music is matched based on dynamic time warping (DTW) algorithm. As experiment, we compared the matching performance by using the database of Roger Jang's Corpus in MIREX.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009
DOIs
StatePublished - 2009
Event4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009 - Fukuoka, Japan
Duration: 20 Dec 200922 Dec 2009

Publication series

NameProceedings of the 4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009

Conference

Conference4th International Conference on Ubiquitous Information Technologies and Applications, ICUT 2009
Country/TerritoryJapan
CityFukuoka
Period20/12/0922/12/09

Keywords

  • DTW
  • G.729
  • Humming data
  • MIREX
  • QBH

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