Content-based retrieval of polyphonic music objects using pitch contour

  • Lihui Guo*
  • , Xin He
  • , Yaxin Zhang
  • , Yue Lu
  • *Corresponding author for this work

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

6 Scopus citations

Abstract

This paper investigates the retrieval of content-based polyphonic music objects in Wav and MP3 format. The system allows user to find an intended song by humming or singing a section of it. In this paper we introduce the baseline system and describe the key components including the pitch extraction in humming/singing clip, the vocal/non-vocal music segmentation, the pitch tracking in polyphonic music, and the DTW based matching algorithm. We conducted evaluations on the system. The experimental results demonstrate the feasibility of retrieving polyphonic music objects by humming/singing.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages2205-2208
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: 31 Mar 20084 Apr 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/TerritoryUnited States
CityLas Vegas, NV
Period31/03/084/04/08

Keywords

  • Music information retrieval
  • Pitch detection
  • Query by humming/singing

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