Efficient and portable content-based music retrieval system

Yen Lin Chiang, Yuan Shan Lee, Wen Chi Hsieh, Jia Ching Wang

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

1 Scopus citations

Abstract

In this work, a query-by-singing (QBS) content-based music retrieval (CBMR) system is proposed. The proposed QBS-CBMR system shows high efficiency and portability. The proposed QBS-CBMR system uses a music clip as a search key. First, a 13 dimensional Mel-frequency cepstral coefficients (MFCCs) is extracted from an input music clip. Second, each dimension of MFCCs is transformed into a symbolic sequence using the adapted symbolic aggregate approximation (adapted SAX). Each symbolic sequence corresponding to each dimension of MFCCs is then converted into a tree structure called advanced fast pattern index (AFPI) tree. In order to evaluate the similarity between the query music clip and the songs in the database, a partial score is calculated for each AFPI tree first. The final score is obtained by the weighted summation of all partial scores, where the weighting of each partial score is determined by its entropy. The experimental results show that the proposed music retrieval system outperforms other approaches.

Original languageEnglish
Title of host publicationIEEE International Conference on Orange Technologies, ICOT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages153-156
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

  • MFCC
  • Query by singing
  • information entropy
  • multimedia database
  • music retrieval
  • pattern indexing
  • portability
  • symbolic sequence

Fingerprint

Dive into the research topics of 'Efficient and portable content-based music retrieval system'. Together they form a unique fingerprint.

Cite this