Content-based retrieval for music collections

Yuen Hsien Tseng*

*Corresponding author for this work

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

84 Citations (Scopus)

Abstract

A content-based retrieval model for tackling the mismatch problems specific to music data is proposed and implemented. The system uses a pitch profile encoding for queries in any key and an n-note indexing method for approximate matching in sub-linear time. A distinct function that extracts key melodies for query suggestion is developed. The Web-based system provides flexible user interface for query formulation and result browsing. Users can search the system by a short sequence of notes, by uploading a file created by singing, or by clicking suggested key melodies without input. Experiments show that the pitch profile encoding and a 3-note indexing are able to overcome the key mismatch problem and the random errors caused by pitch error, note deletion and insertion. The use of extracted key melodies improves performance over direct search of the music database. For the type of burst mismatch, a query expansion approach is applied.

Original languageEnglish
Title of host publicationProceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999
PublisherAssociation for Computing Machinery, Inc
Pages176-182
Number of pages7
ISBN (Electronic)1581130961, 9781581130966
DOIs
Publication statusPublished - 1999 Aug 1
Externally publishedYes
Event22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999 - Berkeley, United States
Duration: 1999 Aug 151999 Aug 19

Publication series

NameProceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999

Other

Other22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999
Country/TerritoryUnited States
CityBerkeley
Period1999/08/151999/08/19

Keywords

  • Approximate string matching
  • Key melody extraction
  • Music indexing
  • Music retrieval
  • Pitch profile encoding
  • Query suggestion

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems

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